Ml Data Associate Amazon Salary Jobs in Usa
12,759 positions found
We are hiring an MLS Data Compliance and Support Specialist to work on-site at our Melbourne office. This role is essential to maintaining the accuracy and integrity of our MLS data and ensuring compliance with Association rules. You’ll provide direct support to members, monitor listings, and help enforce MLS policies.
Key Responsibilities
- Monitor MLS listings for rule compliance and data accuracy
- Investigate and resolve listing violations and discrepancies
- Provide in-person and phone/email support to members regarding MLS usage
- Assist with MLS system onboarding
- Collaborate with staff and vendors to troubleshoot technical issues
- Generate reports to support compliance and operational efficiency
- Stay informed on MLS policy updates and system enhancements
Qualifications
- Strong attention to detail and organizational skills
- Excellent communication and customer service abilities
- Familiarity with MLS platforms and real estate data systems (preferred)
- Ability to interpret and enforce rules with professionalism
- Proficiency in Microsoft Office and data tools
- Must not hold an active real estate license
- Ability to work well with others in a team environment.
- Ability to Multi-task and successfully problem solve.
- Ability to walk, stand, sit, view/enter data for long periods of time.
- Must be able to lift and carry supplies weighing up to 20 lbs.
- This is not a remote or work from home position.
What We Offer
- A collaborative and mission-driven work environment
- Competitive salary and benefits
- A chance to make a meaningful impact in the local real estate community
This is not a remote or work-from-home position. No relocation expenses provided. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa.
and scaling AI agents — across our customer segments via consulting (SI/GSI) and technology (ISV) partners.
You will work closely with partners to build AgentCore-powered solutions that leverage agent orchestration, memory, tool
integration, and identity management capabilities, positioning AWS as the choice for enterprise agentic AI workloads.
This role requires a unique blend of strategic thinking, technical depth in agentic AI architectures, and business development
acumen. You will help partners understand and capitalize on the AgentCore value proposition — including its managed runtime, built
-in agent-to-agent communication, and seamless integration with Bedrock (model access, Guardrails, Knowledge Bases).
The ideal candidate will have experience creating, communicating, and driving successful partnership strategies at scale, ideally
with a background in sales or business development within the AI/ML or cloud infrastructure space. You should possess a
demonstrated ability to think strategically about business, product, and technical challenges — particularly around emerging
agentic AI patterns — and leverage data to uncover opportunities for AgentCore adoption and partner-led revenue growth.
Key job responsibilities
* Lead the development and execution of AIML go-to-market strategies for partners
* Collaborate closely with Sales, Customer Success, Marketing, and Product teams to drive comprehensive partnership initiatives
* Create scalable programs and deliver insightful business reviews to unblock partner challenges and drive growth
* Develop operational planning documents and serve as an AIML subject matter expert supporting broader internal teams
About the team
The AWS Data and AI Partner GTM team accelerates growth through our biggest bets and amplifying our most impactful partners. We focus on partners with the highest potential for impact, investing in key ISVs, systems integrators, and high-potential startups who can accelerate adoption of strategic AWS services and initiatives. Through technical leadership, partner channel experience, and go-to-market expertise, we create repeatable models that empower both our partners and AWS field teams to accelerate service adoption and deliver customer outcomes.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.- 6+ years of developing, negotiating and executing business agreements experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
- Experience managing joint GTM success with technology partners, including development and tracking of joint sell-with and sell-through business activities
- Familiarity with AWS Partner Network (APN) programs, competency frameworks, or marketplace listings- Experience interpreting data and making business recommendations
- Familiarity with agentic AI frameworks and patterns (e.g., multi-agent orchestration, tool-use, RAG, memory/state management)
- Working knowledge of AWS AI/ML services, particularly Amazon Bedrock, SageMaker, and related infrastructure
- Understanding of LLM-based application architectures including agent runtimes, guardrails, and identity/access patterns
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , CA, Mountain View - 162,7 ,200.00 USD annually
USA, CA, San Francisco - 162,7 ,200.00 USD annually
USA, NY, New York - 162,7 ,200.00 USD annually
USA, WA, Seattle - 147,9 ,100.00 USD annually
Able to operate independently in low structure environments, collaborate across business and IT, and deliver high quality, AI ready data ecosystems.
Role Purpose Establish, advance, and mature data quality and governance capabilities in a green field, low maturity data environment.
Support enterprise analytics, BI, and AI/ML readiness through SQL/ETL engineering, data profiling, validation, stewardship, metadata management, and early stage data architecture.
Drive long term improvement of data standards, definitions, lineage, and quality processes.
Key Responsibilities Data Quality & Engineering Perform data audits, profiling, validation, anomaly detection, and quality gap identification.
Develop automated data quality rules and validation logic using T SQL, SQL Server, stored procedures, and indexing strategies.
Build and maintain SSIS packages for validation, cleansing, transformation, and error detection workflows.
Troubleshoot ETL/ELT pipelines, data migrations, integration failures, and data load issues.
Conduct root cause analysis and implement preventive and long term remediation solutions.
Optimize SQL queries, tune stored procedures, and improve data processing performance.
Document audit findings, validation processes, data flows, standards, and quality reports.
Build dashboards and reports for data quality KPIs using Power BI/Tableau.
Data Stewardship & Governance Define, maintain, and enforce data quality standards, business rules, data definitions, and governance policies.
Monitor datasets for completeness, accuracy, timeliness, consistency, and compliance.
Ensure proper and consistent data usage across departments and systems.
Maintain business glossaries, data dictionaries, metadata repositories, and lineage documentation.
Partner with IT, data engineering, and business teams to support governance initiatives and compliance requirements.
Provide training on data entry, data handling, stewardship practices, and data literacy.
Collaborate with cross functional teams to identify recurring data issues and recommend preventive solutions.
GreenField / LowMaturity Environment Architect initial data quality frameworks, validation layers, governance artifacts, and ingestion patterns.
Establish scalable data preparation workflows supporting analytics, BI, and AI/ML readiness.
Mature data quality and governance processes from ad hoc to standardized, automated, and measurable.
Drive adoption of data quality and governance practices across business and technical teams.
Support long term evolution of enterprise data strategy and governance maturity.
Required Technical Skills Advanced T SQL, SQL Server development, debugging, and performance tuning.
SSIS development, deployment, and troubleshooting.
Data profiling, validation rule design, quality scoring, and measurement techniques.
ETL/ELT pipeline design, debugging, and optimization.
Data modeling (conceptual, logical, physical).
Metadata management and lineage documentation.
Reporting and dashboarding with Power BI, Tableau, or similar tools.
Strong documentation and communication skills.
Preferred Skills Knowledge of DAMA DMBoK, DCAM, MDM concepts, and governance frameworks.
Experience in low maturity/green field data environments.
Familiarity with AI/ML data readiness and feature store aligned data structuring.
Cloud data engineering exposure (Azure, Databricks, GCP).
Education Bachelor’s degree in Information Systems, Computer Science, Data Science, Statistics, Business Analytics, or related field.
Master’s degree preferred.
Certifications (Preferred) DAMA CDMP (Associate/Practitioner) EDM Council DCAM ASQ Data Quality Credential Collibra Data Steward Certification Certified Data Steward (eLearningCurve) Cloud/AI certifications (Azure, Databricks, Google)
AI Data & Python Tools Engineer
We're seeking an AI Data and Python Tools Engineer to develop and deploy intelligent tools that leverage big data infrastructure and modern AI architecture. This role combines strong software engineering fundamentals with the ability to build production-ready AI applications at speed, including integration with Model Context Protocol (MCP) systems.
Responsibilities:
- Develop and deploy AI-powered full-stack applications using Python, React, and modern machine learning frameworks
- Design and streamline data pipelines, train and validate ML models, and implement robust evaluation methods
- Collaborate with cross-functional teams to solve complex problems and integrate scalable, cloud-based AI solutions
- Rapidly prototype, test, and iterate on AI tools with a strong focus on performance, flexibility, and scalability
- Maintain clear technical documentation, perform code reviews, and support the full software development lifecycle
Software Engineering & AI/ML Data, Tools Development
- 3+ years of Python Development with a background in back end services and data processing
- Exposure to AI/ML algorithms
- Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Understanding of LLMs, vector databases, and retrieval systems
- Experience with Model Context Protocol (MCP) integration and server development
Big Data & Cloud Infrastructure
- Knowledge of building and deploying cloud based applications
- Hands-on experience with cloud data platforms (AWS/GCP/Azure)
- Proficiency with big data technologies (Spark, Kafka, or similar streaming platforms)
- Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes
- Knowledge of containerization (Docker/Kubernetes) and infrastructure as code
*Preferred Experience
- Experience building web applications with modern frameworks (React, Vue, or Angular)
- API development and integration experience
- Basic UX/UI design sensibilities for internal tooling
- Experience with real-time data processing and analytics
- Background in building developer tools or internal platforms
- Familiarity with AI/ML operations (MLOps) practices (Experience using airflow)
- Experience building MCP servers and integrating with AI assistants
- Knowledge of structured data exchange protocols and API design for AI systems.
Type: Full Time
Location: Austin, TX or Cupertino, CA (Monday- Friday onsite)
*Relocation assistance can be offered based on individual needs and circumstances*
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.
As a Prime Video technologist, you'll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You'll get to work on projects that are fast-paced, challenging, and varied. You'll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
We'll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!
The Personalization and Disovery team (PVPD) plays a vital role in connecting audiences with the compelling stories and content on Prime Video. Our mission is to foster long-lasting relationships between viewers and the service, ensuring they keep coming back for more. Our work combines the art of curation and personalization with sophisticated data science and machine learning algorithms. We shape the Prime Video experience through personalized recommendations powered by advanced relevance models, and deep insights into viewer behavior.
As a Senior Manager, ML Infrastructure, you will lead multiple engineering teams to define the vision, strategy, and execution plan for ML infrastructure stack and deliver highly extensible systems that fuel personalized discovery at global scale. You will bring clarity to ambiguity, architecting infrastructure that dramatically improves the agility, usability, and extensibility of our ML solutions. Your technical leadership will shape the future of AI/ML across Prime Video, unlocking generative and predictive models that personalize content for hundreds of millions of viewers worldwide.
Your day will involve partnering with scientists and product managers to streamline the model development lifecycle from research to production, building ML infrastructure and establishing MLOps practices that enables rapid experimentation and deployment of AI/ML models. You'll collaborate with cross-functional teams, including product managers, data scientists and applied scientists. With your deep expertise in machine learning infrastructure and and distributed systems, you'll ensure these AI-driven solutions are scalable, reliable, and responsible, while continuously innovating to deliver delightful customer experiences.- 10+ years of engineering experience
- 5+ years of engineering team management experience
- 10+ years of planning, designing, developing and delivering consumer software experience
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment
- Experience partnering with product or program management teams
- Hands-on experience with machine learning infrastructure, retrieval/recommendation systems, large-language model and/or generative AI, as well as partnering with applied science teams- Experience designing and developing large scale, high-traffic applications
- Bachelor's degree in computer science, computer engineering, or related technical field
- Experience with AWS infrastructure and services
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , NY, New York - 242,1 ,500.00 USD annually
**This is an experimental role to support a business pilot and can potentially span up to 12 months**
Embark on a transformative journey as our Sr. Domain Expert Lead, where intellectual rigor meets technological innovation. As a Sr. Domain Expert Lead, you will blend your advanced analytical skills and domain expertise to provide strategic oversight to our human-in-the-loop and model-in-the-loop data pipelines. You will also provide mentorship and guidance to junior team members. Your responsibilities will ensure data excellence through strategic oversight of high-quality data output, while delivering expert consultation throughout the pipeline and fostering iterative development. This position directly impacts the effectiveness and reliability of our AI solutions by maintaining the highest standards of data quality throughout the development process while building capability within the broader team.
Key job responsibilities• Serve as a trusted domain advisor to cross-functional teams, providing strategic direction and specialized problem-solving support• Champion domain knowledge sharing across multiple channels and teams to maintain data quality excellence and standardization• Drive collaborative efforts with science teams to optimize output of complex data collections in your domain expertise, ensuring data excellence through iterative feedback loops• Foster team excellence through mentorship and motivation of peers and junior team members• Make informed decisions on behalf of our customers, ensuring that selected code meets industry standards, best practices, and specific client needs• Collaborate with AI teams to innovate model-in-the-loop and human-in-the-loop approaches, to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more.• Stay abreast of the latest developments in how LLMs and GenAI can be applied to your area of expertise to ensure our evaluations remain cutting-edge.• Develop and write demonstrations to illustrate "what good data looks like" in terms of meeting benchmarks for quality and efficiency• Provide detailed feedback and explanations for your evaluations, helping to refine and improve the LLM's understanding and output- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 1+ years of guiding and coaching a group of researchers experience
- 1+ years of working with or evaluating AI systems experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience applying theoretical models in an applied environment- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience working on multi-team, cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , MA, Boston - 136, ,000.00 USD annuallyUSA, WA, BELLEVUE - 136, ,000.00 USD annually
Amazon delivery partner opportunity – Earn $17.00
- $30.50/hrWhat is Amazon Flex? Use your vehicle and smartphone to earn extra money delivering with a brand you trust.
With Amazon Flex, you only deliver when you want to.
Amazon Flex pays delivery partners for completing delivery blocks.
No experience necessary.
Choose the delivery blocks that fit your schedule, then get back to the things you enjoy most.Whether you're saving up for something special or just want some extra money for day-to-day expenses, most drivers earn $17.00
- $30.50 an hour
* delivering packages.
You also get to choose which weekday(s) you get paid.
Make your earnings go further with Amazon Flex Rewards.With Amazon Flex Rewards, you have access to perks that include cash back and exclusive savings on essential items you may need as an Amazon Flex delivery partner.
From tires, fuel and auto services to slip-resistant shoes – plus tools to help navigate insurance, expenses, and taxes – there are plenty of ways to save money and time.Start delivering today.
*Actual earnings will depend on your location, any tips you receive, how long it takes you to complete your deliveries, and other factors.Self-employed / No-contractWho can deliver with Amazon Flex? S.
driver's license, access to a mid-sized or larger vehicle, and have an i Phone or Android smartphone.Contact Amazon Flex Driver Support at 888-281-6906 (5 a.m.
– PT) or click "apply" below to learn more.
Amazon delivery partner opportunity – Earn $17.00
- $30.50/hrWhat is Amazon Flex? Use your vehicle and smartphone to earn extra money delivering with a brand you trust.
With Amazon Flex, you only deliver when you want to.
Amazon Flex pays delivery partners for completing delivery blocks.
No experience necessary.
Choose the delivery blocks that fit your schedule, then get back to the things you enjoy most.Whether you're saving up for something special or just want some extra money for day-to-day expenses, most drivers earn $17.00
- $30.50 an hour
* delivering packages.
You also get to choose which weekday(s) you get paid.
Make your earnings go further with Amazon Flex Rewards.With Amazon Flex Rewards, you have access to perks that include cash back and exclusive savings on essential items you may need as an Amazon Flex delivery partner.
From tires, fuel and auto services to slip-resistant shoes – plus tools to help navigate insurance, expenses, and taxes – there are plenty of ways to save money and time.Start delivering today.
*Actual earnings will depend on your location, any tips you receive, how long it takes you to complete your deliveries, and other factors.Self-employed / No-contractWho can deliver with Amazon Flex? S.
driver's license, access to a mid-sized or larger vehicle, and have an i Phone or Android smartphone.Contact Amazon Flex Driver Support at 888-281-6906 (5 a.m.
– PT) or click "apply" below to learn more.
Remote working/work at home options are available for this role.
Amazon delivery partner opportunity – Earn $17.00
- $30.50/hrWhat is Amazon Flex? It's simple! Use your vehicle and smartphone to earn extra money delivering with a brand you trust.
With Amazon Flex, you only deliver when you want to.
Amazon Flex pays delivery partners for completing delivery blocks.
When you schedule a block, you'll know when you're delivering, for how long, and how much you can earn before you begin.
No experience necessary.
Choose the delivery blocks that fit your schedule, then get back to the things you enjoy most.Deliver.
Earn.
Achieve.
Repeat.Whether you're saving up for something special or just want some extra money for day-to-day expenses, most drivers earn $17.00
- $30.50 an hour
* delivering packages.
You also get to choose which weekday(s) you get paid.
You can decide to get paid every day to get your money faster, or pick just one day so you can streamline your finances.Make your earnings go further with Amazon Flex Rewards.With Amazon Flex Rewards, you have access to perks that include cash back and exclusive savings on essential items you may need as an Amazon Flex delivery partner.
From tires, fuel and auto services to slip-resistant shoes – plus tools to help navigate insurance, expenses, and taxes – there are plenty of ways to save money and time.Deliver smiles, backed by Amazon.Packages make great passengers.
Start delivering today.
*Most drivers earn $17.00
- $30.50 an hour.
Actual earnings will depend on your location, any tips you receive, how long it takes you to complete your deliveries, and other factors.Self-employed / No-contractWho can deliver with Amazon Flex? You must be 21 years old, have a valid U.
S.
driver's license, access to a mid-sized or larger vehicle, and have an i Phone or Android smartphone.Questions? Contact Amazon Flex Driver Support at 888-281-6906 (5 a.m.
– 7 p.m.
PT) or click "apply" below to learn more.
What is Amazon Flex? It's simple! Use your vehicle and smartphone to earn extra money delivering with a brand you trust. With Amazon Flex, you only deliver when you want to. Amazon Flex pays delivery partners for completing delivery blocks. When you schedule a block, you'll know when you're delivering, for how long, and how much you can earn before you begin. No experience necessary. Choose the delivery blocks that fit your schedule, then get back to the things you enjoy most.
Deliver. Earn. Achieve. Repeat.
Whether you're saving up for something special or just want some extra money for day-to-day expenses, most drivers earn $17.00 - $19.00 an hour* delivering packages. You also get to choose which weekday(s) you get paid. You can decide to get paid every day to get your money faster, or pick just one day so you can streamline your finances.
Make your earnings go further with Amazon Flex Rewards.
With Amazon Flex Rewards, you have access to perks that include cash back and exclusive savings on essential items you may need as an Amazon Flex delivery partner. From tires, fuel and auto services to slip-resistant shoes - plus tools to help navigate insurance, expenses, and taxes - there are plenty of ways to save money and time.
Deliver smiles, backed by Amazon.
Packages make great passengers. Start delivering today.
*Most drivers earn $17.00 - $19.00 an hour. Actual earnings will depend on your location, any tips you receive, how long it takes you to complete your deliveries, and other factors.
Self-employed / No-contract
Who can deliver with Amazon Flex? You must be 21 years old, have a valid U.S. driver's license, access to a mid-sized or larger vehicle, and have an iPhone or Android smartphone.
Questions? Contact Amazon Flex Driver Support at 888-281-6906 (5 a.m. - 7 p.m. PT) or click "apply" below to learn more.
What is Amazon Flex? It's simple! Use your vehicle and smartphone to earn extra money delivering with a brand you trust. With Amazon Flex, you only deliver when you want to. Amazon Flex pays delivery partners for completing delivery blocks. When you schedule a block, you'll know when you're delivering, for how long, and how much you can earn before you begin. No experience necessary. Choose the delivery blocks that fit your schedule, then get back to the things you enjoy most.
Deliver. Earn. Achieve. Repeat.
Whether you're saving up for something special or just want some extra money for day-to-day expenses, most drivers earn $15.00 - $18.00 an hour* delivering packages. You also get to choose which weekday(s) you get paid. You can decide to get paid every day to get your money faster, or pick just one day so you can streamline your finances.
Make your earnings go further with Amazon Flex Rewards.
With Amazon Flex Rewards, you have access to perks that include cash back and exclusive savings on essential items you may need as an Amazon Flex delivery partner. From tires, fuel and auto services to slip-resistant shoes - plus tools to help navigate insurance, expenses, and taxes - there are plenty of ways to save money and time.
Deliver smiles, backed by Amazon.
Packages make great passengers. Start delivering today.
*Most drivers earn $15.00 - $18.00 an hour. Actual earnings will depend on your location, any tips you receive, how long it takes you to complete your deliveries, and other factors.
Self-employed / No-contract
Who can deliver with Amazon Flex? You must be 21 years old, have a valid U.S. driver's license, access to a mid-sized or larger vehicle, and have an iPhone or Android smartphone.
Questions? Contact Amazon Flex Driver Support at 888-281-6906 (5 a.m. - 7 p.m. PT) or click "apply" below to learn more.
What is Amazon Flex? It's simple! Use your vehicle and smartphone to earn extra money delivering with a brand you trust. With Amazon Flex, you only deliver when you want to. Amazon Flex pays delivery partners for completing delivery blocks. When you schedule a block, you'll know when you're delivering, for how long, and how much you can earn before you begin. No experience necessary. Choose the delivery blocks that fit your schedule, then get back to the things you enjoy most.
Deliver. Earn. Achieve. Repeat.
Whether you're saving up for something special or just want some extra money for day-to-day expenses, most drivers earn $17.00 - $20.00 an hour* delivering packages. You also get to choose which weekday(s) you get paid. You can decide to get paid every day to get your money faster, or pick just one day so you can streamline your finances.
Make your earnings go further with Amazon Flex Rewards.
With Amazon Flex Rewards, you have access to perks that include cash back and exclusive savings on essential items you may need as an Amazon Flex delivery partner. From tires, fuel and auto services to slip-resistant shoes - plus tools to help navigate insurance, expenses, and taxes - there are plenty of ways to save money and time.
Deliver smiles, backed by Amazon.
Packages make great passengers. Start delivering today.
*Most drivers earn $17.00 - $20.00 an hour. Actual earnings will depend on your location, any tips you receive, how long it takes you to complete your deliveries, and other factors.
Self-employed / No-contract
Who can deliver with Amazon Flex? You must be 21 years old, have a valid U.S. driver's license, access to a mid-sized or larger vehicle, and have an iPhone or Android smartphone.
Questions? Contact Amazon Flex Driver Support at 888-281-6906 (5 a.m. - 7 p.m. PT) or click "apply" below to learn more.
What is Amazon Flex? It's simple! Use your vehicle and smartphone to earn extra money delivering with a brand you trust. With Amazon Flex, you only deliver when you want to. Amazon Flex pays delivery partners for completing delivery blocks. When you schedule a block, you'll know when you're delivering, for how long, and how much you can earn before you begin. No experience necessary. Choose the delivery blocks that fit your schedule, then get back to the things you enjoy most.
Deliver. Earn. Achieve. Repeat.
Whether you're saving up for something special or just want some extra money for day-to-day expenses, most drivers earn $18.50 - $21.50 an hour* delivering packages. You also get to choose which weekday(s) you get paid. You can decide to get paid every day to get your money faster, or pick just one day so you can streamline your finances.
Make your earnings go further with Amazon Flex Rewards.
With Amazon Flex Rewards, you have access to perks that include cash back and exclusive savings on essential items you may need as an Amazon Flex delivery partner. From tires, fuel and auto services to slip-resistant shoes - plus tools to help navigate insurance, expenses, and taxes - there are plenty of ways to save money and time.
Deliver smiles, backed by Amazon.
Packages make great passengers. Start delivering today.
*Most drivers earn $18.50 - $21.50 an hour. Actual earnings will depend on your location, any tips you receive, how long it takes you to complete your deliveries, and other factors.
Self-employed / No-contract
Who can deliver with Amazon Flex? You must be 21 years old, have a valid U.S. driver's license, access to a mid-sized or larger vehicle, and have an iPhone or Android smartphone.
Questions? Contact Amazon Flex Driver Support at 888-281-6906 (5 a.m. - 7 p.m. PT) or click "apply" below to learn more.
What is Amazon Flex? It's simple! Use your vehicle and smartphone to earn extra money delivering with a brand you trust. With Amazon Flex, you only deliver when you want to. Amazon Flex pays delivery partners for completing delivery blocks. When you schedule a block, you'll know when you're delivering, for how long, and how much you can earn before you begin. No experience necessary. Choose the delivery blocks that fit your schedule, then get back to the things you enjoy most.
Deliver. Earn. Achieve. Repeat.
Whether you're saving up for something special or just want some extra money for day-to-day expenses, most drivers earn $18.00 - $24.00 an hour* delivering packages. You also get to choose which weekday(s) you get paid. You can decide to get paid every day to get your money faster, or pick just one day so you can streamline your finances.
Make your earnings go further with Amazon Flex Rewards.
With Amazon Flex Rewards, you have access to perks that include cash back and exclusive savings on essential items you may need as an Amazon Flex delivery partner. From tires, fuel and auto services to slip-resistant shoes - plus tools to help navigate insurance, expenses, and taxes - there are plenty of ways to save money and time.
Deliver smiles, backed by Amazon.
Packages make great passengers. Start delivering today.
*Most drivers earn $18.00 - $24.00 an hour. Actual earnings will depend on your location, any tips you receive, how long it takes you to complete your deliveries, and other factors.
Self-employed / No-contract
Who can deliver with Amazon Flex? You must be 21 years old, have a valid U.S. driver's license, access to a mid-sized or larger vehicle, and have an iPhone or Android smartphone.
Questions? Contact Amazon Flex Driver Support at 888-281-6906 (5 a.m. - 7 p.m. PT) or click "apply" below to learn more.
Key job responsibilities
- Collaborate with engineers to architect optimal technical solutions and designs
- Establish software development best practices, ensure requirements are met, and deliver high-quality work on schedule
- Manage resources, staffing, and mentoring to build and maintain a best-in-class engineering team
- Maintain and enhance existing software systems
- Develop technical requirements and design specifications
- Report on development status, quality, operations, and system performance to leadership
About the team
Amazon Luna is a cloud gaming service that makes it easy for anyone to play high-quality games on the devices they already own—including Fire TV and tablet devices, smartphones, tablets, web browsers, select smart televisions from LG and Samsung, and more--with no need to purchase new gaming consoles or equipment. Luna brings more than 50 games to Prime members at no additional cost, including GameNight, an evolving collection of more than 25 approachable, local multiplayer games designed to bring friends and family together in the living room. To play GameNight titles, simply scan a QR code on your TV and your smartphone becomes your controller. With simple and responsive touchscreen inputs and support for multiple local players, GameNight offers and easy and approachable way to play whether you’re an experienced gamer of a casual fan.- 10+ years of engineering experience
- 5+ years of engineering team management experience
- 10+ years of planning, designing, developing and delivering consumer software experience
- Experience partnering with product or program management teams
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment- Experience partnering with product and program management teams
- Experience designing and developing large scale, high-traffic applications
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , CA, Irvine - 220,1 ,700.00 USD annually
USA, WA, Seattle - 220,1 ,700.00 USD annually
Compensation: $21.25 - $22.25 per hour
Shift Time(s): Delivery drivers typically work four 10 hour shifts per week with 30 minute lunch breaks and two 15 min breaks. Shifts start at 10:00 am.
Benefits of Working at Agile Logistics:
- Competitive wages and seasonal bonuses
- Dental insurance
- Flexible schedule
- Health insurance
- Paid time off
- Paid training
- Referral program
- Vision insurance
- Opportunities for advancement
- Be part of a local business that is making a positive impact on the community
As a Delivery Driver at Agile Logistics, you will play a crucial role in ensuring orders are delivered promptly and accurately within the community! You will start and end your day at Amazon Warehouse: DVA2
Delivery Driver Responsibilities:
- Load and unload delivery vehicles with packages to be delivered
- Drive safely, following GPS coordinated route, following all traffic laws
- Deliver products to customers in a professional and courteous manner
- Maintain a clean and organized delivery vehicle
- Report any issues or problems to management immediately
Company Description:
Agile Logistics is a locally owned and operated Amazon DSP dedicated to providing exceptional delivery service to our community. We are currently hiring for full-time and part time delivery driver positions delivering Amazon packages. Our operation runs 7 days a week, flexible schedules are available. We are looking for individuals with excellent customer service and communication skills to hire. We provide delivery vehicles, health benefits, paid training and paid time off. This is a non-CDL drivers license position. You must be 21 years of age or older.
Location Address: DVA2 at 1601 Bellwood Road, Richmond, VA
Drive with us Apply Today!
Qualifications:
- Valid driver's license and clean driving record
- Ability to lift and carry heavy packages
- Ability to work independently and as part of a team
All your information will be kept confidential according to EEO guidelines.
*At Securian Financial the internal position title is Data Science Sr Con.*
Position Overview
As a Lead Data Scientist at Securian Financial, you are a recognized expert and technical leader within the organization. You will apply deep analytical and machine learning expertise to solve complex enterprise problems while shaping the technical direction of data science and AI initiatives. You seek to understand first, build scalable solutions that drive strategic growth and value, and thrive in a collaborative, teamwork-oriented environment.
You will play a key role in advancing our enterprise AI and advanced analytics capabilities, influencing tooling standards, MLOps practices, and responsible AI adoption across the organization. Our company values innovation, collaboration, and excellence, and we offer a supportive and inclusive environment where diverse perspectives are encouraged and professional growth is prioritized.
Key Responsibilities
Design, develop, and productionize advanced machine learning and AI models in partnership with data engineering and software engineering teams.
Establish and promote MLOps best practices, including experiment tracking, model versioning, reproducibility, CI/CD, and model monitoring using tools such as MLflow and DSpy.
Lead the design and evaluation of AI and generative AI solutions, including LLM-based systems, and agent-based workflows.
Collaborate with cross-functional team to identify, prioritize, and deliver high-impact, data-driven solutions.
Communicate complex analytical and model-driven insights to technical and non-technical audiences through clear narratives, reports, and presentations.
Ensure model quality, robustness, and regulatory alignment through rigorous testing, validation, and explainability techniques.
Drive adoption of enterprise standards for data science, machine learning, and responsible AI.
Identify opportunities for process improvements and automation using advanced analytics and AI techniques.
Lead and mentor more junior data scientists, providing guidance and support in their professional development while working on projects.
Preferred Qualifications
A Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
At least 5 years of experience in data science or a related field, with a minimum of 2 years in a project leadership role.
Experience building and deploying production solutions
Experience with MLOps tools and practices, including MLflow (or similar) for experiment tracking and model management.
2+ years of experience in Insurance, actuarial, or a related field
Proficiency in programming languages such as Python
Strong expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
Solid understanding of statistical analysis, data visualization, data wrangling techniques, NLP approaches, ML model selection.
Solid understanding of model approaches to satisfy regulatory requirements regarding explainability/interpretability of advanced AI/ML models
Excellent problem-solving skills and the ability to think critically and analytically.
Strong communication and presentation skills, with the ability to convey complex concepts to non-technical audiences.
Demonstrated ability to manage multiple projects and prioritize tasks effectively.
A passion for continuous learning and staying current with industry trends and developments.
Preferred Skills
Experience with natural language processing (NLP), LLMs, prompt engineering, and advanced ML models.
Familiarity with modern ML debugging, evaluation, and optimization tools such as DSpy or equivalent.
Knowledge of responsible AI practices, including bias detection, fairness assessment, and model risk management.
Knowledge of data governance and data privacy regulations.
Background in finance, healthcare, or other specialized industries.
#LI-hybrid **This position will be in a hybrid working arrangement.**
Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes), you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.
The estimated base pay range for this job is:
$111,300.00 - $207,800.00Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.
Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:
Paid time off:
We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.
Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.
Holidays: Securian provides nine company paid holidays.
Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.
Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.
Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.
Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:
Mental Wellness and Disability
Pride at Securian Financial
Securian Young Professionals Network
Securian Multicultural Network
Securian Women and Allies Network
Servicemember Associate Resource Group
For more information regarding Securian's benefits, please review our Benefits page.
This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.
Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).
To view our privacy statement click here
To view our legal statement click here
Remote working/work at home options are available for this role.
Business Overview
KINESSO is the technology-driven performance marketing agency providing actionable growth for both our agency partners and clients. We turn 'action' into 'outcome' for our clients, leveraging our unique capabilities in optimization, analytics, AI, and experimentation. KINESSO has brought together the collective power of what was formerly Matterkind, Reprise, P3, and Kinesso under one collective entity that will serve as the most powerful delivery engine in the industry. We have extensive offerings spanning across performance marketing and data and technology. Fueled by a deep understanding of consumer behavior, we offer an end-to-end engine of planning and optimization while also delivering on data-driven strategy for social platforms, actionable growth in e-commerce, and creating curated marketplaces specific to each client's function and needs. The company has more than 6,000 employees operating in more than 60 countries. Learn more at Summary
We are looking for you - dynamic, best-in-class talent - to join the growing Commerce team as a Senior Associate. In this role you will support in the development, planning, buying, executing and measuring media plans for designated shopper/commerce media clients. As a Senior Associate, you will create, innovate, and guide Commerce planning and buying processes. You'll work closely with national Planning and Buying teams to allow for holistic Commerce media function.
The Commerce team is a specialty group that focuses on the planning, buying, execution and measurement of Commerce media. Commerce media is any specific media elements that are retailer focused/tagged. This can be in-store signage such as a coupon machine or shelfblade, a billboard driving shoppers to a Walmart store, digital ads (search, display, OLV/STV, etc) on Amazon or site via managed or self service, tapping influencers that support certain retailers or working with shoppable technology companies to ensure ease of conversion. The team supports client's commerce/shopper/customer marketing teams-our end goal measuring product sales both online and in-store.
Who You Are
Enthusiastic about media with a desire to learn and build knowledge across all aspects of commerce inclusive of retail media networks, programmatic media, instore, shoppable tech and more. You thrive in a fast paced and fun environment. You're ready to level up your career in media and are excited to partner with some of the world's leading consumer brands.
Responsibilities
Media Knowledge
o Knowledge of media channels (e.g. display, OLV, STV, instore, OOH, etc.) and/or retail media networks & their platforms
o Familiar with both DSP interface functionality and levers (campaign hierarchy, audience builder, PMP/PG set up, reporting suite) as well as managed service dashboards
o Preliminary understanding of individual RMN capabilities across tactic, targeting, reporting methodology, etc.
* Account Management & Strategy
o Supports Manager in development, presentation, management and measurement of omnichannel commerce media programs
o Leads RFP and negotiation process for managed service campaigns ensuring previous learnings are applied
o Assists in building audience targeting details and budget allocation at the tactic/placement level based on client goals for either self service or with partners during the RFP process
o Takes learnings from previous campaigns and apply to next campaign
o Hosts kick off calls for new campaign launches with partners and/or DSP activation team ensuring client approved strategy is reflected accurately in self service platform
o Supports in identification of growth opportunities and shares ideas for potential test and learns
o Takes lead on managing vendor communications and delivers client communications where appropriate
o Contributes to building an effective detailed media plan, inclusive of tactics, audiences, flighting, KPIs, etc. that drives client performance
o Input and manage plans within MediaTools where applicable
o Supports in the creation of client ready materials (e.g. presentations, reporting, etc.)
o Maintain detailed files of all pertinent records (latest media plans, performance reports, etc.) relevant to clients' business
o Responsible for owning any status documents and timelines whether internal or client facing
o Responsible for accurate meeting minutes and recaps/next steps where appropriate
o Demonstration of knowledge of outstanding deliverables on the team agenda
o Day to day lead for billing and responsible for actualizing and clearing invoices
* Execution
o Involved in the buying process and stewardship for media programs to ensure original objectives are being met
* Managed service: works with partners to maintain campaign and optimize based on performance, monitors within partner dashboards where applicable
* Self service: works with DSP activation team to ensure relevant strategies are implemented and campaigns are optimized based on performance, monitors within platform
* Works with retailers and DSP partners to ensure proper data onboarding and any necessary paperwork is completed prior to campaign launch
o Responsible for locating, determining, and building relevant audience segments in DSP platforms
o Manages coordination of creative assets between client, creative agencies and partners
o Owns accurately entering IOs into Prisma and building Trafficking sheets
o Become proficient with 3rd party ad-serving and site served placements, tracking & analytic systems to be able to accurately input media plan details and launch campaigns
o Monitors pacing to ensure delivery is appropriate and aligned to campaign flighting for both managed and self-service campaigns
o Measures media performance at all stages to ensure original objectives and strategies are being met to client satisfaction
o Analyzes and reports data on daily/weekly/bi-weekly/monthly & ad-hoc basis
* Data may be provided from partners or DSP activation team, with self service data being reviewed more frequently
* Turns insights into long-term action by highlighting clear flow of cause, effect and next steps
o Demonstrates ability to use historical data or vendor relationships to create benchmarks for current campaign performance
o Maintains client and industry benchmarks for point of comparison when evaluating campaign performance
* Relationships
o Day to day lead with media partners across communication and scheduling of meetings
o Works cross-functionally with national planning & investment, ad operations, product, reporting, analytics, finance and other groups across the account
o Active participants in key vendor meetings ultimately sending recaps/notes for the full team
o Mentor Associates and provide opportunities for continued growth
* Training/Development
o Participation in trainings and proactive communication around areas of needed/desired growth for self and Associate
o Proactive idea sharing with internal team
* Industry Knowledge
o Seeks out information to remain current on media trends and shares with team members with relevant implications/potential opportunities
o Familiarity with client business objectives and connections to our day-to-day work
Required Skills & Experience
* Working knowledge of commerce industry and platforms including major retailers and supporting technology (e.g. Amazon Ads, Walmart Connect, Roundel, Pacvue, Skai, Criteo, TTD, etc.)
* Agency and/or Commerce media
* Project management; effectively managing multiple projects and meeting tight deadlines under a fast-paced environment.
* Process oriented and organized, with the ability to juggle many tasks at one time. Time management skills are critical
Desired Skills & Experience
* Bachelor's degree or equivalent experience
* 1+ years of ecommerce experience preferred
* Excellent written and verbal communication skills and proven problem solving ability
* Self- sufficient and proactive
* Comfortable in managing up across task progress, campaign performance and team needs
* Proficient in Microsoft Office (Excel, PowerPoint, etc.)
* Knowledge with industry tools such as MediaTools, Prisma, etc
Wage and Benefits
We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee's/applicant's skill set, level of experience, and qualifications.
Employment Transparency
It is the policy of our company to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law.
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions.
For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position, please .
Salary Range$70,000—$75,000 USD*At Securian Financial the internal position title is Data Science Sr Analyst or Data Science Consultant. The title and salary will be determined based on experience and applied skills.*
Summary
As an Operational Support Data Scientist at Securian Financial, you will bridge advanced analytics and day-to-day business operations by designing, deploying, monitoring, and continuously improving AI-driven solutions that support enterprise processes.
This role focuses on supporting reliable, scalable, and explainable AI solutions that enhance operational efficiency, decision support, customer experience, and risk management across Digital, Marketing, Sales, and Servicing functions.
You will operate at the intersection of data science, MLOps, and the business - ensuring models are maintained, enhanced, monitored, and aligned with Securian's Enterprise Data Strategy Vision and Operating Principles.
Responsibilities include but are not limited to:
AI Solution Development & Deployment
Work with business teams to enhance existing solutions to enhance and optimize existing AI/ML solutions.
Deploy and manage solutions using cloud-native tools (e.g., AWS SageMaker).
Operational Model Support & Optimization
Monitor model performance, data drift, and operational KPIs.
Troubleshoot production issues and continuously enhance and optimize models for performance, stability, and cost efficiency.
Establish measurement frameworks to quantify operational impact of deployed solutions.
Data Engineering & Analytical Execution
Transform structured, semi-structured, and unstructured data into actionable features and insights.
Perform exploratory analysis and visualization to identify operational improvement opportunities.
Collaborate with engineering teams to productionize data solutions.
Stakeholder Engagement & Explainability
Partner with cross-functional operational stakeholders to understand business workflows and translate them into AI-enabled solutions.
Communicate complex AI methodologies and results clearly to technical and non-technical audiences.
Ensure model transparency, explainability, fairness, and ethical AI application in alignment with enterprise governance standards.
Required Qualifications
Demonstrated experience developing, deploying, or supporting production AI/ML models in cloud environments.
Strong proficiency in Python and experience with tools such as AWS SageMaker and GitHub.
Experience building operationalized data science solutions (not just prototypes).
Strong understanding of statistical modeling, machine learning algorithms, and model validation techniques.
Ability to clearly explain technical concepts, model outputs, and operational trade-offs to stakeholders.
Strong ethical judgment with a commitment to responsible and unbiased AI development.
Preferred Qualifications
2+ years of hands-on experience in data science, applied AI, or machine learning.
Experience supporting AI solutions in operational or production environments.
Familiarity with MLOps practices, model governance frameworks, and automation tooling.
Experience working in regulated industries (financial services preferred).
#LI-hybrid **This position will be in a hybrid working arrangement.**
Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes) you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.
The estimated base pay range for this job is:
$72,000.00 - $134,000.00Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.
Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:
Paid time off:
We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.
Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.
Holidays: Securian provides nine company paid holidays.
Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.
Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.
Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.
Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:
Mental Wellness and Disability
Pride at Securian Financial
Securian Young Professionals Network
Securian Multicultural Network
Securian Women and Allies Network
Servicemember Associate Resource Group
For more information regarding Securian's benefits, please review our Benefits page.
This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.
Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).
To view our privacy statement click here
To view our legal statement click here
Remote working/work at home options are available for this role.
Komar Distribution is seeking an Amazon Operations Manager to own the execution and operational performance of our Amazon business. This role is responsible for managing inventory flow, fulfillment execution, and logistics performance primarily through Amazon platforms, warehouse and logistics, ensuring inventory accuracy, order integrity, and compliance across FBA, FBM, and wholesale channels.
This position serves as the Amazon operations owner and will report to the VP of Marketplace Sales, while acting as the primary operational link between Amazon, logistics partners, and internal teams. The ideal candidate is highly comfortable working in Amazon and logistics systems, understands fulfillment workflows end to end, and uses data and process control to drive results.
Core Responsibilities
Amazon & Systems Operations Ownership
- Act as the primary owner of Amazon operational workflows across Seller Central, Vendor Central, warehouse management and logistics systems
- Manage Amazon operations through data, reporting, and system controls, not manual floor supervision
- Monitor operational KPIs including IPI, inbound performance, shortages, cancellations, chargebacks, and storage exposure
- Translate system signals and performance data into clear execution priorities
Amazon Fulfillment & Inventory Execution
- Own FBA operations end to end, including allocation, replenishment logic, inbound scheduling, inventory placement, and storage strategy
- Manage FBA inbound workflows, inventory transfers, and compliance with Amazon packaging, labeling, prep, and IPI requirements
- Oversee FBM and wholesale order execution through Amazon and internal order management systems
- Evaluate and support ship-direct-from-factory and cross-dock workflows from a systems and process perspective
Inventory Control, Visibility & Reconciliation
- Own inventory accuracy and visibility across FBA, FBM, wholesale, and DTC channels
- Lead inventory reconciliation and resolution within Amazon systems, including stranded inventory, shortages, overages, inbound discrepancies, and chargebacks
- Monitor inventory positioning and movement across Amazon’s FC network and internal locations
- Manage aged inventory risk and storage exposure through proactive system-based controls
- Partner with planning teams to execute replenishment strategies aligned with system constraints and performance goals
Logistics & Partner Coordination
- Coordinate inbound and outbound freight execution through carriers, freight forwarders, and 3PL partners
- Manage logistics performance through shipment tracking, documentation, and exception management systems
- Troubleshoot transportation and handoff issues by identifying root causes across systems and partners
Order Flow, Exceptions & Escalations
- Oversee order flow, routing, and prioritization across Amazon, WMS, ERP, Salesforce, and Shopify
- Own Amazon and DTC operational escalations, including late shipments, cancellations, compliance failures, and system defects
- Use structured root cause analysis and corrective action to prevent repeat issues and improve turnaround time
Launches, Peaks & Expansion
- Support new product launches, bundles, kits, promotions, and seasonal peaks through system readiness and inventory planning
- Prepare Amazon and logistics workflows for international expansion and new fulfillment programs
Qualifications
- 3–5 years of experience in Amazon operations, logistics operations, or fulfillment systems management
- Strong hands-on experience with Amazon Seller Central and/or Vendor Central
- Understanding of FBA, FBM, inventory controls, and Amazon compliance requirements
- Experience managing inventory, orders, and logistics through WMS, ERP, OMS, etc
- Proven ability to manage operational issues through systems, data, and process design
- Strong analytical, problem-solving, and cross-functional communication skills
