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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 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:
- Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or equivalent)
- Hands-on experience with NLP applied to unstructured text
- Experience working with LLMs, including:
- Prompting strategies
- Fine-tuning for classification or extraction tasks
- Model evaluation and error analysis
- Experience designing or consuming annotation pipelines and labeled datasets
- Familiarity with structured prediction problems (multi-label classification, ranking, or probabilistic inference)
- Ability to reason about and mitigate model bias, label noise, and false positives
- Strong understanding of production ML systems (versioning, monitoring, iteration)
- Experience working with sensitive or regulated data (e.g., HIPAA-covered healthcare data), including privacy-aware data handling and secure ML workflows
OTHER SKILLS and ABILITIES:
- Hands-on experience with Azure AI services, Azure Machine Learning, OpenAI on Azure, and Microsoft Foundry
- Experience with clinical NLP libraries (scispaCy, medspaCy, cTAKES)
- Familiarity with RAG architectures for grounding model decisions
- Experience with weak supervision or noisy-label learning
- Knowledge of temporal reasoning or longitudinal modeling
- Exposure to knowledge graphs or ontology-driven systems
- Familiarity with healthcare vocabularies and ontologies:
- ICD-10
- SNOMED CT
- RxNorm (or similar)
- Understanding of clinical documentation structure (HPI, Assessment & Plan, medications, etc.)
EXPERIENCE:
- Bachelor’s Degree in related field
- 2-4+ years of experience in software engineering, machine learning, or applied NLP
- Demonstrated experience taking ML systems from prototype to production
- Experience collaborating with non-technical domain experts (e.g., medical coders, clinicians)
BENEFITS:
- 401(k)
- Dental Insurance
- Health Insurance
- Life Insurance
- Vision Insurance
- Paid Time Off
- Free catered lunches
I am working with a team leveraging AI + Reinforcement Learning for accelerating Chip Design.
Most agentic research today deals with text, where feedback is subjective and ground truth is hard to find. I’m working with a Stanford spinout moving RL and post-training into chip design, an environment where physics and logic provide a strict, non negotiable ground truth.
The founding team is being built with an intentional focus on high talent density. The Head of AI, who led Trust & Safety at a Frontier Lab and worked on RL for Claude, is bringing together a small group, including a founding engineer from Augment Code, a member of xAI who worked on special projects under Elon, and peers from Superintelligence and DeepMind.
They are solving for long horizon reasoning by building agents that plan, critique, and verify their own outputs in a closed loop. The goal is to collapse the traditional 2–3 year design cycle through two main products: a licensed IP system for hardware reasoning and a "Cursor for Verilog" that validates its own code against real execution feedback.
They are a well funded early stage company backed by a top tier VC, with support from people like Jeff Dean and the co-founder of SambaNova. The role is in Palo Alto and comes with high ownership & scope and equity that reflects the level of trust and impact you would have.
Apply here to discover more about this opportunity.
If interested in position, please fill out this form: description
Join the Future of Healthcare at MedWatchers
MedWatchers is a technology-forward leader delivering integrated care solutions that improve lives across Medicare, Medicaid, and Commercial markets. With a growing portfolio of 30+ clinical service lines and a flexible delivery model—ranging from full SaaS, hybrid solutions, to fully delegated services—we help payers close gaps, enhance outcomes, exceed quality benchmarks and demonstrate clear return on investment (ROI) through data-backed interventions.
Our comprehensive suite includes:
- CMAPP, our cloud-based care management platform
- Advanced analytics and risk-based targeting to derive ROI
- Omnichannel member and provider engagement
- Clinical services delivered by a team of 180+ licensed pharmacists, fluent in 30+ languages and dialects
We’re trusted by over 60 national and regional health plans—including the six largest payers in the U.S.
As we scale, we’re expanding our San Diego-based Technology Team across multiple positions. We’re hiring engineers and scientists to build impactful products and develop the next generation of intelligent healthcare technology in San Diego.
Software Engineer (various levels)
Roles: Software Engineer, Product Technologist, Full Stack Developer (Title and level will be commensurate with your education and experience)
Location: Onsite – San Diego, CA (No remote)
Salary Range: $160,000– $200,000 (based on experience and skills) + Annual Bonus
PHD required in Computer Science, Data Science, Engineering, or a related field
Overview
Join our San Diego-based engineering team to design and build robust, scalable technology platforms that support clinical workflows, member engagement, and real-time healthcare analytics. You’ll work across the stack, collaborating with product, data, and clinical teams to deliver impactful features in a fast-moving, mission-driven environment.
Key Responsibilities
- Develop and maintain full-stack web applications with clean, testable code
- Design and implement RESTful APIs and backend services
- Build responsive, component-based user interfaces using modern JavaScript frameworks
- Work with cloud-native tools and infrastructure for scalable deployment
- Participate in code reviews, technical design discussions, and agile ceremonies
- Collaborate cross-functionally with product managers, clinicians, and data teams
- Ensure performance, reliability, and security of deployed applications
- Contribute to platform architecture decisions as the product scales
Representative Technologies (familiarity with similar tools is welcome)
- Frontend: JavaScript (React, Angular, Vue)
- Backend: Node.js, Express, Python (Flask, FastAPI), Go, Rust
- Databases: PostgreSQL, MongoDB, Redis
- Cloud Platforms: AWS, Azure, GCP
- DevOps & Tooling: Git, CI/CD pipelines, Docker, Kubernetes
Ideal Experience
- Strong programming fundamentals and debugging skills
- Proven experience in full-stack application development
- Familiarity with modern deployment workflows and cloud services
- Agile team collaboration and iterative product delivery
- Bonus: Exposure to healthcare data, APIs, or workflows
We offer a comprehensive benefits package, including:
- 401(k) with company matching
- Health, dental, and vision insurance
- Paid time off (PTO)
- Tuition reimbursement
- Employee discounts
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 annually
USA, WA, BELLEVUE - 136, ,000.00 USD annually
About the role
As a Gen AI Architect, you will make an impact by designing and implementing scalable, innovative solutions leveraging Generative AI, AWS cloud services, and Snowflake. You will be a valued member of our architecture and engineering team, collaborating closely with cross-functional partners to integrate AI/ML capabilities, automate deployments, and enhance system performance.
In this role, you will:
- Design and develop scalable architectures using Generative AI, AWS services, and Snowflake.
- Integrate AI and machine learning solutions into existing systems in partnership with cross-functional teams.
- Implement AWS CodePipeline, CodeDeploy, CodeCommit, and CodeBuild to automate deployment workflows.
- Use AWS Machine Learning services to develop predictive models that generate actionable business insights.
- Provide technical leadership on AI/ML use cases, solution design, performance optimization, and best practices.
- Validate and test AI/ML models ensuring accuracy, reliability, and real-world applicability.
- Monitor system performance, troubleshoot issues, and ensure platform stability.
- Create documentation and training materials to support knowledge transfer across the team.
- Conduct code reviews and offer constructive feedback to drive code quality.
- Translate business needs into technical solutions that deliver measurable value.
- Ensure compliance with security standards and data protection requirements.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Hartford, CT each week. Regardless of your working arrangement, we are here to support a healthy work-life balance through our wellbeing programs.
The working arrangements for this role are accurate as of the date of posting and may change based on business or client needs. We will always be transparent about role expectations.
What you need to have to be considered
- Proven experience designing scalable architectures using AWS services, Snowflake, and Generative AI.
- Strong background in AI/ML solution development, including model validation and deployment.
- Hands-on experience with AWS DevOps tools (CodePipeline, CodeDeploy, CodeCommit, CodeBuild).
- Ability to collaborate with cross-functional teams and translate complex technical concepts.
- Strong problemsolving skills with experience optimizing system performance and reliability.
- Excellent communication skills with the ability to create clear documentation and training materials.
These will help you stand out
- Experience integrating AI/ML into enterprise-scale systems.
- Knowledge of Snowflake data pipelines and advanced cloud data architectures.
- Familiarity with emerging Generative AI frameworks and their practical applications.
- Demonstrated ability to mentor and guide engineering teams.
- A passion for staying current with AI, ML, and AWS advancements.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Salary and Other Compensation:
Applications will be accepted until March 15, 2026.
The annual salary for this position is between $ 115,000 - $ 135,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
This Jobot Job is hosted by: Craig Rosecrans
Are you a fit? Easy Apply now by clicking the "Apply" button
and sending us your resume.
Salary: $100,000 - $140,000 per year
A bit about us:
Our organization, a leader in the Accounting and Finance industry, is seeking a dynamic and experienced Permanent AI Transformation Lead to spearhead our AI initiatives. This role is at the forefront of our digital transformation journey, driving the adoption of AI/ML technologies across our financial and accounting operations. The ideal candidate will be a strategic thinker, with a solid understanding of AI trends, AI/ML tooling, AI literacy, and AI training. They will have a proven track record in cross-functional leadership and be eager to leverage their skills and experience to steer our organization towards a future powered by AI.
Why join us?
- Competitive Base Salary
- Company paid health plan for employees
- Flexible Hours
- Very generous PTO
- Dental and Vision, FSA, HSA
- Small team, autonomy
- Many more great perks!
Job Details
Responsibilities:
1. Develop and lead the execution of our AI transformation strategy, ensuring alignment with organizational goals and objectives.
2. Drive the integration of AI/ML technologies into our accounting and finance operations, enhancing efficiency, accuracy, and data-driven decision-making.
3. Collaborate with cross-functional teams to identify opportunities for AI deployment and ensure smooth implementation.
4. Keep abreast of emerging AI trends and technologies, adapting our strategy as necessary to stay at the cutting edge.
5. Establish AI literacy across the organization through training programs and workshops, fostering a culture of continuous learning and innovation.
6. Oversee the selection and management of AI/ML tooling, ensuring it meets our needs and remains up-to-date.
7. Lead and mentor a team of AI professionals, fostering a collaborative and high-performing work environment.
8. Collaborate with stakeholders to assess the effectiveness of AI initiatives, making adjustments as necessary to maximize ROI.
9. Ensure compliance with all relevant regulations and ethical guidelines in the deployment of AI technologies.
Qualifications:
1. Bachelor's degree in Computer Science, Data Science, or a related field. Master's degree or higher is preferred.
2. Minimum of 5 years of experience in a leadership role in AI/ML or related field.
3. Demonstrated experience in cross-functional leadership, with a track record of driving organizational change and delivering results.
4. In-depth knowledge of current AI trends and technologies, with a focus on their application in the accounting and finance industry.
5. Proficiency in AI/ML tooling, with experience in selecting and managing tools to meet organizational needs.
6. Strong AI literacy, with the ability to translate complex AI concepts into understandable terms for non-technical stakeholders.
7. Proven experience in developing and delivering AI training programs, fostering AI literacy across an organization.
8. Excellent communication and interpersonal skills, with the ability to collaborate effectively with a diverse range of stakeholders.
9. Strong strategic thinking and problem-solving skills, with a forward-thinking approach to technology and innovation.
10. Experience in the accounting and finance industry is preferred.
Interested in hearing more? Easy Apply now by clicking the "Apply" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
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New Business - Midwest Logistics Systems Dedicated truck driver
Average pay: $1,000-$1,200 weekly
Home time: Daily
Experience: 3 months or greater CDL experience
Overview- Have a predictable work schedule.
- Drive the same out-and-back dedicated route and work with the same customers every day.
- Haul automotive parts in dry van trailers with newer trucks.
- Haul no-touch, mostly drop-and-hook freight.
- Work with onsite leaders and dispatch.
- Route and detention pay.
- $5,000 sign-on bonus for experienced drivers.
- Safety and performance bonuses of up to $600 per quarter.
- Longevity bonus of up to $750 per quarter.
- Weekly paychecks.
- Valid Class A Commercial Driver’s License (CDL).
- Minimum 3 months of Class A driving experience.
- Medical, dental and vision insurance.
- Disability and life insurance.
- 401(k) savings plan with company match.
- Ten paid holidays and paid time off.
- Company-provided uniforms.
- Opportunity to work with a dedicated, professional team that is committed to your safety and success.
Our history has taught us that treating everyone with dignity and respect is vital to our ongoing success. We embrace and seek out diversity that is inclusive of thought, race, ethnicity, national origin, sex, gender, gender expression, age, religion, sexual orientation, ability, medical condition, veteran or military status, experience and background. This diversity and openness ensures all associates have equal access to opportunities and resources to contribute fully to the organization's success, and it fuels innovation, improves strategic thinking and cultivates leadership. Any applicant may request a reasonable accommodation to complete a job application, pre-employment testing, or job interview or to otherwise participate in the hiring process consistent with the Americans with Disabilities Act (ADA) by contacting their Recruiter, Human Resources Business Partner, and/or Human Resources Leave Administration.
A wholly owned subsidiary of Schneider, Midwest Logistics Systems, Ltd. (MLS) is operated separately from Schneider with its own operating procedures, qualification requirements, training program, pay packages and benefits. If you have any questions about becoming an MLS driver, please contact an MLS recruiter at 8
Job MLS Driver
Schedule FULLTIME
Sign On Bonus 5000
Compensation details: 1000-1200
PI04aa7b166524-3631
Midwest Logistics Systems Dedicated nighttime truck driver
Average pay: $1,050-$1,250 weekly
Home time: Daily
Experience: 6 months or greater CDL experience
Overview- Have a predictable daily home time work schedule.
- Drive the same out-and-back dedicated route and work with the same customers every day.
- Haul automotive parts in dry van trailers with newer trucks.
- Haul no-touch, mostly drop-and-hook freight.
- Work with onsite leaders and dispatch.
Pay and bonus potential
- Route and detention pay.
- Safety and performance bonuses of up to $600 per quarter.
- Longevity bonus of up to $750 per quarter.
- Weekly paychecks.
- Valid Class A Commercial Driver’s License (CDL).
- Drivers on this account are required to drive at night.
- Minimum 6 months of Class A driving experience.
- Medical, dental and vision insurance.
- Disability and life insurance.
- 401(k) savings plan with company match.
- Ten paid holidays and paid time off.
- Company-provided uniforms.
- Opportunity to work with a dedicated, professional team that is committed to your safety and success.
Our history has taught us that treating everyone with dignity and respect is vital to our ongoing success. We embrace and seek out diversity that is inclusive of thought, race, ethnicity, national origin, sex, gender, gender expression, age, religion, sexual orientation, ability, medical condition, veteran or military status, experience and background. This diversity and openness ensures all associates have equal access to opportunities and resources to contribute fully to the organization's success, and it fuels innovation, improves strategic thinking and cultivates leadership. Any applicant may request a reasonable accommodation to complete a job application, pre-employment testing, or job interview or to otherwise participate in the hiring process consistent with the Americans with Disabilities Act (ADA) by contacting their Recruiter, Human Resources Business Partner, and/or Human Resources Leave Administration.
A wholly owned subsidiary of Schneider, Midwest Logistics Systems, Ltd. (MLS) is operated separately from Schneider with its own operating procedures, qualification requirements, training program, pay packages and benefits. If you have any questions about becoming an MLS driver, please contact an MLS recruiter at 8
Job MLS Driver
Schedule FULLTIME
Sign On Bonus
Compensation details: 1050-1250
PI77730632b09d-3631
WW R&R includes business, product, operations, data, and software engineering teams, who together manage the lifecycle of returned and damaged products. In WW R&R, you will partner across these teams to help customers discover great deals on quality used, rentals, and open box items; get the most value out of Amazon’s products; improve the customer returns experience; and reduce defects, waste, and cost in reverse logistics processes. You will be a leader, a builder, and an owner, collaborating cross-functionally with technical, operations, and business teams to design scalable and automated solutions to customer problems.
Amazon is Earth’s most customer-centric company and in WW R&R, the Earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns, ReCommerce & Sustainability team!
We are hiring an experienced Catalog Specialist to help us grow our business in innovative ways. In this role, you will work closely with our product, technology and science teams to support new Machine Learning (ML) models and data science classification algorithm development – all helping to delight our customers through new experiences throughout their Amazon shopping journey.
Key job responsibilities
• Work closely with our product, technology, and science teams to support Machine Learning (ML) models
• Perform data annotation required to train and evaluate ML models effectively
• Support data scientists in the development of classification algorithms
• Collaborate with cross-functional teams to ensure data annotation tasks align with project objectives and timelines
• Maintain high-quality standards for annotated data to optimize model performance
• Continuously evaluate and improve annotation processes to enhance efficiency and accuracy
• Strong analytical skills and the ability to deep-dive on complex problems
• Ability to manage multiple simultaneous projects requiring frequent communication, organization/time management and problem-solving skills- Bachelor's degree
- Speak, write, and read fluently in English
- Experience with Microsoft Office products and applications
- 1+ years of proven experience in data annotation and labeling for ML model training and evaluation.- Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup
- Experience working on the MTurk or Sagemaker platform for data annotation tasks
- Understanding of data annotation methodologies and tools
- Familiarity with Amazon's product and category ecosystem
- Previous exposure to machine learning concepts and algorithms
- Demonstrated ability to adapt to evolving technologies and methodologies in the ML domain
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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at , WA, Bellevue - 21. USD hourly
The Senior Data Scientist will play a critical role in building the foundation of Boot Barn’s AI and Data Science division, with a focus on developing advanced machine learning and generative AI solutions. This position will lead the design and deployment of models that power data driven solutions to support cross-departmental products, and intelligent agentic systems.
Working closely with AI/ML and Data Engineers, this individual will ensure models are robust, well-designed, and ready to scale, while contributing to the establishment of data science best practices across the organization.
Essential Duties and Responsibilities
- Design, build, and deploy predictive and generative AI models to address high-impact applications such as personalization, forecasting, marketing automation, and conversational agents.
- Conduct exploratory data analysis, statistical modeling, causal inference, and A/B experimentation to uncover insights and validate model performance.
- Develop high-quality, modular Python code for model training and experimentation using libraries and frameworks such as pandas, numpy, scikit-learn, PyTorch, TensorFlow.
- Collaborate with AI/ML Engineers to productionize models through containerization, orchestration, and CI/CD pipelines.
- Collaborate with Data and AI/ML Engineers to establish RAG pipelines, vector databases, and agentic frameworks.
- Prototype and deploy generative AI applications such as content generation agents, knowledge assistants, and multimodal interfaces.
- Partner cross-functionally with Store Operations, Ecommerce, Marketing, Merchandise, Supply Chain and Real Estate to identify and prioritize high-impact AI opportunities.
- Contribute to data science best practices, model documentation, and the creation of reusable modeling frameworks.
- Translate complex model results into clear business insights for technical and non-technical audiences.
- Demonstrates high level of quality work, attendance and appearance.
- Demonstrates high degree of professionalism in communication, attitude and teamwork with customers, peers and management.
- Adhere to all local, federal and state laws in addition to Company policies, procedures, and practices.
- Performs any other duties that may be assigned by management.
Qualifications
- Bachelor's or Master’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 3-5+ years of hands-on data science experience; proven track record in developing and deploying ML and generative AI models.
- Strong expertise in SQL, Python and core ML frameworks (scikit-learn, PyTorch, TensorFlow)
- Experience with LLMs, vector databases, and RAG pipelines
- Familiarity with MLOps workflows, containerization (Docker), and orchestration (Kubernetes) tools.
- Strong collaboration skills, with experience working closely with engineering and product teams.
- Retail and/or e-commerce experience preferred.
Competencies
- Ensure Effective Communication - Listens carefully and attentively to others' opinions and ideas. Communicates information clearly, concisely, and professionally.
- Establish Trust - Follows through on commitments. Is honest and direct with others. Promotes a culture of respect for, commitment to, and compliance with Company values, beliefs, and standards. Ensures the protection of confidential information.
Boot Barn Benefits & Additional Compensation Opportunities
- Competitive salary.
- Merchandise discount: 50% off of Exclusive Brands and 40% off of third-party brands.
- Paid Time Off plan for year-round Boot Barn Partners.**
- Medical, Dental, Vision and Life Insurance.**
- 401(k) plan with generous company matching.
- Flexible schedules and work/life balance.
- Opportunities for growth at every level – we are opening 50+ new stores each year.
**For eligible Boot Barn Partners
PAY RANGE: $125,000.00 - $150,000.00/yr*
*compensation varies based on geography, skills, experience, and tenure
Physical Demands
In general, the following physical demands are representative of those that must be met by a Partner to successfully perform the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job.
- Standing, walking and squatting less than fifty percent of the work shift.
- Required to lift, move and carry up to 40 pounds.
- Ability to read, count and write to accurately complete all documentation and reports.
- Must be able to see, hear and speak in order to communicate with partners and customers.
- Specific vision abilities include close vision, distance vision, peripheral vision, depth perception and ability to adjust focus.
- Manual dexterity required using hands to finger; handle, feel and type; reach with hands and arms.
[ ] Sedentary: Limited activity, no lifting, limited walking
[ X ] Light: Office work, some lifting, bending, stooping or kneeling, walking
[ ] Moderate: Mostly standing, walking, bending, frequent lifting
[ ] Arduous: Heavy lifting, bending, crawling, climbing
Work Environment
In general, the following conditions of the work environment are representative of those that a Partner encounters while performing the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job within the environment.
- The workspace is clean, orderly, properly lighted and ventilated with the proper safety compliance.
- Noise levels are considered moderate.
Boot Barn, Inc. reserves the right to make exceptions to modify or eliminate this document or its content. This document supersedes all previous policies, procedures or guidelines pertaining to this subject.
Our core value of community bands us together in supportive and inclusive ways to drive our collective success. Boot Barn provides equal employment opportunity to all applicants and employees without regard to race, color, religion, sex, sexual orientation, age, national or ethnic origin, veteran or military status, disability, as well as any other protected status under the law.
Americans with Disabilities Act (ADA) - Boot Barn will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required by applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Boot Barn Store or Distribution Center or reach out to Human Resources at 1-949-453-4400, Option 4.
California Privacy Notice
