Senior, Data Scientist

Position Summary

As a Senior Data Scientist, you will help design, prototype, build, deploy, and improve next‑generation intelligent systems that blend software, models, and automation into cohesive, adaptive platforms.

Your mission is to build production‑grade software that solves business and technical problems in the growth tech space. You will focus on developing real‑world solutions using agentic coding tools and frameworks.

About the team:
Our team operates at the intersection of software engineering, data, AI systems, and rapid experimentation. We build platforms that enable intelligent automation at scale, ranging from agent orchestration to customer‑facing AI systems.

We emphasize iteration speed, practical impact, and systems that learn from usage. The work often involves ambiguous problem spaces where we define patterns as we build them.

• Partner with business, product and engineering teams to deeply understand the problem.
• Rapid prototype, design, implement, test, evaluate, deploy and improve software solutions that solve challenging business and technical problems.
• Use agentic coding tools, frameworks and techniques such as MCP, A2A, ADK, and other frameworks to accelerate solution development, testing, and iteration.
• Contribute to agent evaluation frameworks (offline + online) to measure quality, reliability, and system behavior.
• Improve outcomes through feedback‑driven workflows using real‑world signals.
• Contribute to multi‑agent workflows with coordination, delegation, and dynamic task execution.
• Ensure operational excellence and build observability, debugging, and traceability in AI‑driven systems.
• Contribute to shaping practices for AI‑native application development.
• Contribute to knowledge sharing and training of the rest of the organization on AI‑native application development.

• Expertise in using agentic coding tools and frameworks to build production systems.
• Comfort working in open‑ended problem spaces with evolving requirements.
• Experience working with structured data, workflows, or technical tools, with an emphasis on building high‑quality, scalable solutions.
• Ability to work across technical and non‑technical teams to translate needs into practical outcomes.
• Strong ownership mindset with a focus on shipping, learning, and improving systems continuously.

• Expertise working on agent workflows, orchestration layers, and evaluation processes.
• Familiarity with protocol‑driven systems (e.g., MCP or similar abstractions).
• Interest in deeply understanding business problems, rapid prototyping, and end‑to‑end, full‑stack development.
• Track record of building solutions quickly and iterating based on real feedback.

• Option 1:
  Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years of experience in an analytics related field.
• Option 2:
  Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 year of experience in an analytics related field.
• Option 3: 5 years of experience in an analytics or related field.

• Data science, machine learning, optimization models.
• Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
• Successful completion of one or more assessments in Python, Spark, Scala, or R.
• Experience using open‑source frameworks such as scikit‑learn, Tensor Flow, PyTorch.
• Background in creating inclusive digital experiences, knowledge of WCAG 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.

• Competitive pay and performance‑based bonus awards.
• 401(k) with employer match, stock purchase program.
• Health benefits including medical, vision, and dental coverage; paid time off (PTO), parental leave, family care leave, bereavement, jury duty, voting leave.
• Short‑term and long‑term disability, company discounts, military leave pay, adoption and surrogacy expense reimbursement.
• Live Better U:
  Walmart‑paid education benefit program covering tuition, books, and fees.
• Paid parental leave and PPTO for vacation, sick leave, holidays.
• Access to on‑site childcare, wellness programs, training, leadership development, and clear career advancement paths.

Location options:
Bentonville, Arkansas (Bentonville, AR 72716‑3724) or Bellevue, Washington (Bellevue, WA 11075). Salary ranges:
Bentonville $90,000 – $180,000;
Bellevue $108,000 – $216,000. Additional compensation may include performance bonuses and stock.

The company is committed to maintaining a drug‑free workplace and has a no‑tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees to create a safe and productive work environment.