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Project Administrator - Data Center Information Technology/Design/Engineer Firm
✦ New
Salary not disclosed
Edison, NJ 12 hours ago

Job Title: Project Administrator - Data Center Information Technology/Design/Engineer Firm

Job Type: Full-time

Job Location: On-Site Edison, NJ


Project Administrator

NJ Data Center growing Information Technology/Design/Engineer Firm is seeking a Project Administrator to join our team. The Project Administrator is responsible for managing the administrative tasks and logistical aspects of data center construction or expansion projects, including coordinating with various teams, tracking project progress, maintaining documentation, and ensuring smooth execution of project activities under the guidance of a project manager, all while adhering to deadlines and budget constraints; essentially acting as the organizational backbone for the project.


Responsibilities include but are not limited to:

  1. Support project team on all administrative tasks and duties.
  2. Heavy client/vendor/supplier interaction.
  3. Preparation of spreadsheet reports, contracts documents, purchase and change order requests, presentations, and correspondence.
  4. Receive, maintain and distribute submittals, RFI’s, shop drawings and establish project log to record receipt and disposition of same.
  5. Coordinate project meetings and travel arrangements.
  6. Maintain electronic and manual database of all project files and archives.
  7. Other responsibilities normally performed in the execution of a Project Administrator position according to standard Architectural/Engineering industry practices.
  8. Assist architects/engineers with editing/issuing project book specifications (electronic IE: Master Specs).


Qualifications:

  1. Three to five years experience in Engineering firms or related fields.
  2. BA is recommended.
  3. Must exhibit initiative, judgment, and quality in performance and responsibilities.
  4. Deadline and detail oriented.
  5. Proficiency in Microsoft Office, Word, Excel, Outlook, Power Point.
  6. Ability to work well with multi disciplines in a fast paced environment.


Work Schedule:

This is a full-time job position. In office, not remote or virtual.

Normal business hours are Monday thru Friday 8-5pm.


Benefits:

  • 401 k match to $3500
  • Full health medical/dental/prescription/life insurance (75% paid by employer 20-25% paid by employee)
  • After 3/5 years eligibility based on rating for company owned NJ shore house
  • Tuition reimbursement for employee
  • Subjective year end bonus plan(end September)
  • Awards/recognition for superior effort and extraordinary excellence
  • Longevity awards 5/10/15/20/25/30 plus years
  • After 15 years education assistance for children eligibility
  • After 15 years eligibility for additional retirement compensative (elective)


BRUNS-PAK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, gender identity and/or expression, national origin, disability, veteran, or other protected status.

Not Specified
Lead Data Scientist (Hybrid)
✦ New
Salary not disclosed

*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 - $207,800.00

Pay 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.
Not Specified
Sr. Associate, Commerce
Salary not disclosed
Conway, AR 3 days ago

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
Not Specified
Lead Data Scientist, AI
✦ New
Salary not disclosed
Atlanta, GA 1 day ago

Purpose


As a foundational member of our AI Center of Excellence, you will serve as the data science lead for enterprise AI initiatives, architecting and deploying AI solutions that make a meaningful impact across our national retail footprint. The Data Scientist Lead will work with other members of the AI COE and business leadership to identify and execute the highest-impact initiatives, own the data science lifecycle, from hypothesis and feature engineering to model validation and performance monitoring; bridging the gap between cutting-edge AI capabilities and practical business applications.

This role requires a rare blend of deep technical mastery and sharp business acumen, to translate complex data into actionable insights and intelligent systems that enhance customer experience, optimize commercial operations, and enable smarter decision-making at scale. The ideal candidate is passionate about retail innovation, thrives in ambiguity, and is energized by the opportunity to shape AI strategy from the ground up.



You’ll Be Successful With


  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Master's degree preferred.
  • 5+ years in Data Science or Applied AI roles, preferably in retail or a customer-facing industry.
  • Proven track record of moving models from development into production which deliver measurable impact to the business.
  • Expert proficiency in Python and SQL. Comfortable with version control.
  • Expertise in supervised/unsupervised learning and modern frameworks (e.g. scikit-learn, PyTorch, or TensorFlow).
  • Hands-on experience building with LLMs, RAG architectures, prompt engineering, or AI agent development.
  • Experience deploying and monitoring models at scale. Familiar with cloud data platforms (e.g. Databricks or Snowflake) and cloud infrastructure (Azure experience a plus).
  • You understand how to apply AI to commercial problems such as demand forecasting, customer- and associate- facing applications, personalization, labor optimization, etc.
  • The ability to translate "black box" model outputs into clear, actionable insights for business leadership.
  • Proven ability to communicate complex technical concepts to non-technical stakeholders and influence decision-making through data-driven storytelling.
  • Strong intellectual curiosity with a bias toward action and continuous improvement.
  • Demonstrated ability to work autonomously while collaborating effectively within cross-functional teams.


Your Day Consists Of


  • Buy vs Build leadership. Evaluate 3rd-party AI platforms and partnerships. Serve as the technical lead in vetting vendor methodologies, guiding the in-house vs external decisioning.
  • Partner with business leadership to identify high-value AI opportunities, defining technical specifications and success metrics that align with enterprise strategy.
  • Design, develop, and deploy custom machine learning models (impacting merchandising, commercial, labor, digital, etc.) within the Databricks environment.
  • Lead experimentation design, including A/B testing and causal inference, to validate model performance and measure true incremental business lift (ROI).
  • Collaborate with data engineers on feature development and with AI developers to wrap models into production-grade APIs and applications.
  • Partner closely with the Customer Insights team to ensure model outputs are optimized for consumption within Power BI/DAX, turning complex predictions into actionable insights.
  • Establish and enforce MLOps standards across the org, including model versioning, automated retraining, and drift monitoring.
  • Serve as the primary ML subject matter expert for the broader Data Science & Insights team. Provide active coaching to analytics leaders, empowering them to identify ML-applicable use cases and effectively incorporate predictive outputs into their own functional workstreams.
  • Contribute to the enterprise AI governance framework, ensuring ethical AI practices, data privacy compliance, and model transparency.
  • Present findings, recommendations, and project updates to leadership and cross-functional partners in clear, compelling formats.
  • Be compliant with all appropriate privacy and security protocols.



Working Conditions (travel, hours, environment)


  • Limited travel required including air and car travel
  • While performing the duties of this job, the employee is occasionally exposed to a warehouse environment and moving vehicles. The noise level in the work environment is typically quiet to moderate.



Physical/Sensory Requirements



Sedentary Work – Ability to exert 10 - 20 pounds of force occasionally, and/or negligible amount of force frequently to lift, carry, push, pull or otherwise move objects. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time.



Benefits & Rewards


  • Bonus opportunities at every level
  • Non-traditional retail hours (we close at 7p!)
  • Career advancement opportunities
  • Relocation opportunities across the country
  • 401k with discretionary company match
  • Employee Stock Purchase Plan
  • Referral Bonus Program
  • 80 hrs. annualized paid vacation (full-time associates)
  • 4 paid holidays per year (full-time hourly store associates only)
  • 1 paid personal holiday of associate’s choice and Volunteer Time Off program
  • Medical, Dental, Vision, Life and other Insurance Plans (subject to eligibility criteria)


Equal Employment Opportunity



Floor & Decor provides equal employment opportunities to all associates and applicants without regard to age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, disability, veteran status, genetic information, ethnicity, citizenship, or any other category protected by law.


This policy applies to all areas of employment, including recruitment, testing, screening, hiring, selection for training, upgrading, transfer, demotion, layoff, discipline, termination, compensation, benefits and all other privileges, terms and conditions of employment. This policy and the law prohibit employment discrimination against any associate or applicant on the basis of any legally protected status outlined above.

Not Specified
Data Science Sr Analyst (Hybrid)
✦ New
🏢 Securian
Salary not disclosed
Saint Paul, MN, Hybrid 1 day ago

*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 - $134,000.00

Pay 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.
Not Specified
Director of Analytics & Insights (Amazon Agency)
✦ New
Salary not disclosed
Milwaukee, WI 1 day ago

Job Title: Director of Analytics & Insights (Amazon Agency)

Location: Milwaukee, WI

Alternate location: Or home based anywhere in the US

Industry: Ecommerce (Amazon Agency)

Channel: Mostly Amazon and

Direct Reports: Team of 5-6 Analysts

Visa: No sponsorship possible. Must have valid work authorization

Job ID: ZR_9557_JOB


Remote work policy: Full remote

Job Seniority: Executive Level, Middle Management Level

Company size: Medium (50-1000 ppl)

Company Ownership: Privately Owned

Industry(ies): Ecommerce, Consumer Goods,

Function(s): eCommerce,

Region(s): Arizona, Atlanta, Boston, Chicago, Cincinnati, Las Vegas, Los Angeles Area, New Orleans, NORTH AMERICA, USA, Dallas, California, Fort Lauderdale / West Palm Beach, Houston, Colorado, Connecticut, San Francisco Area, Florida, Miami, Georgia, Illinois, Louisiana, Massachusetts, Michigan, Minnesota, Nevada, New Jersey, New York City area, North Carolina, Ohio, Pennsylvania, Texas, Utah, Washington DC, Maryland, Delaware, Washington


Company Description

Our client is a well-established ecommerce services organization that supports brands in building and scaling their presence across major online marketplaces (Amazon and mostly). With a long-standing track record in digital commerce, the firm provides strategic and operational support spanning retail, media, creative and performance enablement. Its environment is collaborative, entrepreneurial and data-driven, with a strong emphasis on translating complexity into clear business value.


Objective of the Role

Our client is seeking a Director of Analytics & Insights to lead the strategic development of its measurement and insights capability. This individual will define how performance is measured, interpreted and communicated across client engagements, with a particular focus on ecommerce, digital advertising effectiveness and broader brand growth.

The role is designed for a senior leader who can combine technical depth with business judgment. The successful candidate will establish a clear vision for analytics and reporting, strengthen the quality of insight generation across the organization, and help create scalable frameworks that enable client teams to translate data into action. This position will also play an important role in shaping how advanced tools, automation and artificial intelligence support a modern analytics function.


Ideal Profile

The ideal candidate will bring a strong background in ecommerce analytics, digital advertising measurement and commercial insight generation, ideally gained within a brand-led environment, an agency, or a similarly complex client-facing business. A deep understanding of marketplace ecosystems is essential, particularly in relation to Amazon advertising, Amazon Marketing Cloud, omnichannel measurement and upper-funnel media effectiveness.

This person should be equally credible in technical and executive settings: capable of engaging with analysts, data partners and technical teams while also presenting clear, actionable conclusions to senior leadership. The right profile will combine strategic thinking, intellectual curiosity, sound judgment and the ability to bring structure to an evolving function.


Responsibilities

  • Define and advance the analytics and insights vision for the organization.
  • Establish scalable measurement frameworks covering retail performance, advertising effectiveness, brand growth and operational health.
  • Lead and develop the analytics team, strengthening capabilities, role clarity and professional growth.
  • Create clear standards for reporting, dashboards and insight delivery across client accounts.
  • Improve the quality of interpretation by ensuring data is translated into commercial recommendations and action plans.
  • Serve as a subject matter expert on advanced ecommerce measurement, including Amazon Marketing Cloud and omnichannel analytics.
  • Partner with internal technology and engineering teams to improve data infrastructure, automation and reporting efficiency.
  • Evaluate the current operating model and clarify ownership between analytics, reporting and client-facing teams.
  • Support the development of advanced analyses that go beyond standard dashboard reporting and provide deeper strategic value.
  • Ensure analytical output remains relevant, accurate, decision-oriented and aligned with the evolving needs of clients and the business.


Requirements

  • Significant experience in analytics and insights leadership, including team management.
  • Strong expertise in digital advertising measurement and ecommerce performance analysis.
  • Demonstrated knowledge of Amazon advertising tools, metrics and measurement methodologies, including Amazon Marketing Cloud.
  • Familiarity with omnichannel measurement, customer journey analysis and upper-funnel media evaluation.
  • Advanced capability in SQL and experience with business intelligence and visualization platforms such as Tableau, Looker or similar tools.
  • Working knowledge of statistical or analytical tools such as Python, R or equivalent.
  • Ability to design measurement frameworks that connect media investment to broader business outcomes.
  • Strong communication skills, with the ability to simplify complex analysis for non-technical audiences.
  • Experience operating in a fast-paced, evolving environment with multiple stakeholders.
  • Bachelor’s degree required; an advanced degree is advantageous.
Not Specified
Systems Architect - Edge AI/ML
Salary not disclosed
Milwaukee, WI 3 days ago

At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you'll find innovation, stability, and the chance to grow your career as part of a team that's always looking ahead.

Rite-Hite is a global leader in industrial safety and efficiency solutions. As part of our digital transformation journey, we are seeking a Systems Architect, Edge AI/ML to help build and scale intelligent systems that deliver real-time insights, automation support, and customer value at the edge of industrial environments.

The Systems Architect, Edge AI/ML is responsible for defining and guiding the architecture for artificial intelligence and machine learning deployed on devices and edge platforms. This role ensures that AI/ML solutions are scalable, reliable, secure, and aligned with enterprise product and platform objectives.

The architect partners closely with product management, device and edge software teams, data and cloud teams, and digital solution leaders to translate business and customer requirements into robust AI/ML foundations that enable consistent behavior, efficient lifecycle management, and high-quality user experiences across industrial environments.

CORE RESPONSIBILITIES

Edge AI/ML Architecture Strategy
  • Define and maintain reference architectures, design patterns, and standards for deploying AI and ML models on edge devices and platforms.
  • Establish common approaches for data ingestion, feature pipelines, model inference, performance optimization, and lifecycle management at the edge.
  • Ensure architectural decisions support real-time operation, scalability, reliability, safety, and security.
Innovation Leadership
  • Drive the strategic use of AI and ML at the edge by establishing repeatable patterns for model development, deployment, monitoring, and update.
  • Own a portion of the internal technology radar related to AI/ML, edge analytics, and sensing technologies.
  • Foster a culture of responsible, ethical, and transparent AI practices aligned with cybersecurity, privacy, and safety requirements.
Product and Platform Enablement
  • Partner with product management and engineering teams to enable AI-driven capabilities such as condition monitoring, vision-based sensing, anomaly detection, and predictive insights.
  • Guide architectural decisions related to edge compute constraints, sensor integration, and real-time inference workloads.
  • Promote reuse and consistency of AI/ML components across products and platforms.
Integration and Interoperability
  • Define patterns for integration between edge AI/ML solutions, device software, hybrid mobile applications, and enterprise or cloud-based platforms.
  • Ensure solutions support online, offline, and hybrid deployment models common in industrial environments.
  • Promote interoperability with internal systems and approved third-party technologies.
Security, Safety, and Quality
  • Define secure-by-design and safety-aligned principles for AI/ML model deployment and operation at the edge.
  • Ensure alignment with applicable safety, quality, and industrial cybersecurity standards.
  • Participate in architecture and design reviews to assess risk, resilience, and compliance.
Technical Leadership and Cross-Functional Collaboration
  • Collaborate across product management, device and edge software, data science, cloud platforms, manufacturing, service, and mobile application teams.
  • Provide technical leadership, mentorship, and guidance to engineers and teams working with AI/ML technologies.
  • Serve as a technical advisor in strategic customer conversations and enterprise implementations when appropriate.
Supervisory Responsibilities
  • This role does not have direct reports but is expected to provide technical leadership and architectural guidance across multiple teams.

QUALIFICATIONS

Education & Experience

  • Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, or a related technical field required; Master's degree preferred.
  • 8+ years of experience delivering AI/ML-enabled solutions, with demonstrated experience deploying models in edge or resource-constrained environments.
  • Experience with industrial, connected, or safety-critical systems preferred.

Knowledge / Skill Requirements

  • Strong understanding of AI/ML architectures, model lifecycle management, and real-time inference at the edge.
  • Experience designing systems that balance performance, accuracy, latency, and resource constraints.
  • Ability to think systemically across sensors, devices, edge platforms, mobile applications, and cloud services.
  • Strong communication skills and ability to influence cross-functional stakeholders.
  • Familiarity with industrial automation, IoT ecosystems, or computer vision is a plus.

Leadership & Collaboration:

  • Visionary technical leader who can inspire cross-functional teams and align stakeholders to a shared product vision.
  • Exceptional communicator across technical and non-technical audiences.
  • Committed to data-driven decision-making and delivery excellence.

Why Join Rite-Hite Digital Solutions?

As a technology leader within a globally trusted industrial brand, you will play a pivotal role in shaping how AI and machine learning are applied safely and effectively in real-world environments. Your work will help customers improve safety, productivity, and uptime through intelligent, edge-driven solutions that deliver measurable operational impact.

What We Offer

At Rite-Hite, we take care of our people - because when you're supported, you can do your best work. Our benefits are designed to support your health, your future and your life outside of work:

  • Health & Well-being: Comprehensive medical, dental, and vision coverage, plus life and disability insurance. A robust well-being program with an opportunity to receive an extra day off and more.

  • Financial Security: A strong retirement savings program with 401(k), company match, and profit sharing.

  • Time for You: Paid holidays, vacation time, and personal/sick days each year.

Join us and build a career where you're supported - at work and beyond.

Rite-Hite is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under federal, state, or local law.In accordance with VEVRAA, we are committed to providing equal employment opportunities for protected veterans.We are also committed to maintaining a drug-free workplace for the safety of our employees and customers.

Not Specified
Staff Data Engineer ( Boston or Chicago )
✦ New
Salary not disclosed
Chicago, IL 1 day ago

Company Description

PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood.

  • Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
  • Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
  • Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
  • Dare to innovate:We challenge the status quo with creativity and innovation as our true north.
  • Better together:We check our egos at the door. We work together, so we win together.
Press Ganey is looking to hire a self-motivated Staff Data Engineer with data platform experience.The Staff Data Engineer (Platform) will play a crucial role in designing, implementing and architecting frameworks, systems and automation that support the development, deployment and observability of state-of-the-art large language models (LLMs) and generative AI solutions. This position focuses on creating scalable, reliable systems and processes that streamline the developer experience and empower analysts and data scientists. The ideal candidate will have strong foundational skills in cloud infrastructure, automation and devops practices, as well as experience implementing data pipelines and deployment automation for ML and analytical workloads.

Duties & Responsibilities

Design and implement processes, systems and automation to streamline the development and deployment of AI solutions.
Architect robust, reliable solutions for specific AI applications using appropriate cloud-based and open source technologies.
Design and automate data pipelines to deliver complex data products to power training and online inference of AI systems.
Deploy ML models, LLMs and GenAI systems into production, ensuring reliability, efficiency, and scalability across cloud or hybrid environments.
Build and maintain robust CI/CD pipelines tailored to ML model lifecycle management, ensuring a streamlined and agile deployment process.
Monitor model performance, identify potential improvements, and integrate feedback loops for continuous learning and adaptation.
Integrate models with chat interfaces and conversational platforms to create responsive, user-centric applications.
Investigate and implement agent-based architectures that support conversational intelligence and interaction modeling.
Collaborate with cross-functional teams to design AI-driven features that enhance user experience and interaction within chat interfaces.
Work closely with data scientists, product managers, and engineers to ensure alignment on project goals, data requirements, and system constraints.
Mentor junior engineers and provide guidance on best practices in ML model development, deployment, and maintenance.
Create and maintain comprehensive documentation for model architectures, code implementations, data workflows, and deployment procedures to ensure reproducibility, transparency, and ease of collaboration.
Technical Skills

Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like AWS, Azure, or GCP.
Experience deploying and managing a variety of database technologies.
Experience deploying ML models at scale and optimizing models for low-latency, high-availability environments.
Strong programming skills in Python and proficiency in libraries such as NumPy, Pandas, and Scikit-learn.
Experience with data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Dask.
Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
Knowledge of conversational AI, agent-based systems, and chat interface development.
Proven track record in deploying and maintaining ML and AI solutions in a production setting.
Experience with version control (e.g., Git) and CI/CD tools tailored to ML workflows.
Experience with MLOps.
Experience with Databricks is a plus.

Qualifications

Minimum Qualifications

5+ years of experience in platform engineering with a focus on with a focus on data and ML systems.
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.

Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here:legal-privacy/

Not Specified
Jr. AI/ML Engineer
Salary not disclosed
Orange County, CA 6 days ago

About Us:

Astiva Health, Inc., located in Orange, CA is a premier health plan provider specializing in Medicare and HMO services. With a focus on delivering comprehensive care tailored to the needs of our diverse community, we prioritize accessibility, affordability, and quality in all aspects of our services. Join us in our mission to transform healthcare delivery and make a meaningful difference in the lives of our members.


SUMMARY:

We are seeking a skilled and adaptable Junior AI/ML Engineer to join our fast-moving team building impactful AI solutions in healthcare. Our work focuses on extracting and interpreting data from unstructured medical documents, improving clinical coding accuracy, streamlining administrative processes, and enhancing patient outreach.


Projects will evolve rapidly, from fine-tuning large language models (LLMs) on specialized medical PDFs, to optimizing OCR pipelines in Azure, and new challenges emerge regularly. This role suits someone who thrives in ambiguity, enjoys hands-on model development, and wants to directly influence healthcare delivery through applied AI/ML.


ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:


  • Design, fine-tune, and optimize large language models (LLMs) and multimodal models for healthcare-specific NLP tasks, such as information extraction, classification, and summarization from clinical documents (e.g., medical charts, patient files, scanned forms).
  • Develop and improve document understanding pipelines, including fine-tuning OCR / layout-aware models (especially in cloud environments like Azure AI, Azure Foundry) to handle real-world variability in medical forms, handwriting, and scanned PDFs.
  • Build and iterate on end-to-end ML solutions that transform unstructured healthcare data into structured, actionable insights
  • Collaborate closely with clinicians, product managers, data annotators, and engineers to define problems, curate/annotate datasets, evaluate model performance against clinical and business metrics, and iterate quickly.
  • Deploy models into production environments (cloud-based inference, batch processing, or API endpoints) with attention to latency, cost, scalability, and healthcare compliance considerations (HIPAA, data privacy).
  • Stay current with advancements in LLMs, vision-language models, efficient fine-tuning techniques (LoRA/QLoRA, PEFT), RAG, multimodal AI, and domain-specific healthcare AI research.
  • Contribute to a culture of rapid prototyping, rigorous evaluation, and continuous improvement in a dynamic project landscape where priorities can shift based on new opportunities or stakeholder needs.
  • Other duties as assigned


REQUIRED TECHNICAL SKILLS:

  • Proficiency in Python and familiarity with common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
  • Experience applying NLP techniques to unstructured text
  • Hands-on experience working with LLMs, including:
  • Prompt design and iteration
  • Using pre-trained models for classification or extraction tasks
  • Foundational understanding of model fine-tuning, such as:
  • Fine-tuning transformer models or LLMs for classification or information extraction
  • Adapting existing training scripts or examples to new datasets
  • Familiarity with model evaluation metrics (precision, recall, F1) and basic error analysis
  • Experience working with labeled datasets and annotation outputs, including reviewing label quality
  • Understanding of common ML problem types, including binary and multi-label classification
  • Awareness of model bias, label noise, and false positives, with the ability to discuss tradeoffs and mitigation strategies
  • Basic understanding of production ML workflows (versioning, reproducibility, monitoring concepts)


OTHER SKILLS and ABILITIES:

  • Hands-on fine-tuning experience with LLMs (e.g., Hugging Face, OpenAI fine-tuning, Azure Foundry), even if limited to small-scale or academic projects
  • Exposure to cloud ML platforms (Azure ML, AWS SageMaker, or GCP)
  • Familiarity with RAG architectures and retrieval-based grounding
  • Experience with NLP libraries (spaCy, Hugging Face Transformers, NLTK)
  • Introductory experience with weak supervision or noisy-label learning
  • Interest in healthcare or biomedical NLP
  • Curiosity about knowledge graphs, ontologies, or structured prediction
  • Familiarity with secure data handling practices
  • Willingness and ability to learn workflows for sensitive or regulated data (e.g., HIPAA-covered healthcare data), including privacy-aware data handling and secure ML workflows


EXPERIENCE:

  • Bachelor’s Degree in related field
  • 1–2 years of experience in machine learning, applied NLP, or software engineering
  • Demonstrated some experience training or fine-tuning ML models, not just using APIs
  • Ability to collaborate with senior engineers and domain experts and incorporate feedback


BENEFITS:

  • 401(k)
  • Dental Insurance
  • Health Insurance
  • Life Insurance
  • Vision Insurance
  • Paid Time Off
  • Free catered lunches
Not Specified
Amazon Account Manager (+ Performance Bonuses)
Salary not disclosed
Provo, UT 5 days ago

Amazon Operations Specialist / Amazon Account Manager

Utah-Based | In-Office

Base Salary: $50,000–$60,000 + Performance Bonus (OTE $85,000)

Benefits: PTO + Health Insurance


Why Join Us

It's in our DNA to scale e-commerce businesses from the ground up. Our team expertly runs business acquisitions, and you play a massive role in scaling.


If you want hands-on experience growing ecommerce businesses and want to be part of a high-octane team, this role is a great opportunity.


About the Role

We are looking for an absolute rockstar to join our growing team.


This role is ideal for someone who understands the Amazon ecosystem. You'll be our key to continue producing at a high level and solving problems that are crucial to seeing massive growth in our portfolio businesses.


You will be responsible for managing and optimizing Amazon seller accounts, helping brands grow through operational excellence, data-driven decisions, and strong coordination across teams.


This is a role where you will directly impact the performance and growth of several Amazon brands.


What You'll Do

• Manage and optimize Amazon Seller Central accounts

• Monitor product performance including sales, rankings, and advertising metrics

• Execute account audits and identify opportunities for growth and optimization

• Coordinate with internal teams across creative, logistics, and product development

• Manage listings, catalog updates, and troubleshooting issues within Seller Central

• Monitor inventory levels and help ensure products stay in stock

• Analyze reports to identify opportunities to increase revenue and profitability

• Communicate updates and strategies with internal leadership and stakeholders


What We're Looking For

• 1–3+ years of experience working with Amazon Seller Central

• Strong understanding of Amazon operations (listings, catalog, inventory, etc.)

• Experience analyzing performance data and identifying opportunities

• Highly organized with strong attention to detail

• Ability to manage multiple brands and projects simultaneously

• Strong communication and problem-solving skills

• Self-starter mentality with the ability to move quickly and execute at the highest level


Nice to Have

• Experience with Amazon PPC or advertising analytics

• Experience working with Amazon agencies or managing multiple brands

• Familiarity with tools like Helium 10, Jungle Scout, or similar analytics platforms


Compensation & Benefits

• Base Salary: $50,000 – $60,000

• On-Target Earnings: Up to $85,000 with performance-based bonuses

Paid Time Off (PTO)

Health Insurance Benefits

• Opportunity to work with a high-growth ecommerce team and scale Amazon brands



Not Specified
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