4 дня назад
Senior Data Scientist (AI/ML)
90 000 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (AI/ML): Designing, building, and deploying machine learning and agentic AI solutions with an accent on LLMs, statistical modeling, experimentation, and scalable data products. Focus on productionizing and monitoring models, orchestrating multi-step AI workflows, applying MLOps practices, and mentoring data science associates.
Location: Onsite in Bentonville, Arkansas, United States
Salary: $90,000–$180,000 per year, plus performance-based bonuses and possible stock compensation.
Company
develops data-driven solutions supporting Walmart’s customer and business ecosystem.
What you will do
- Design, build, and deploy machine learning and agentic AI solutions that deliver measurable business outcomes.
- Translate ambiguous business problems into scalable data products in partnership with product, engineering, and business stakeholders.
- Develop models across supervised and unsupervised learning, NLP and LLMs, forecasting, optimization, trend analysis, and clustering.
- Manage the end-to-end model lifecycle, including data exploration, feature engineering, evaluation, productionization, monitoring, drift detection, and retraining.
- Design experiments, test hypotheses, interpret model responses, and provide business recommendations and insights.
- Mentor junior associates and influence technical direction across teams.
Requirements
- Must work at the Bentonville, Arkansas, United States location.
- Bachelor’s degree in statistics, economics, analytics, mathematics, computer science, information technology, or a related field plus 3 years of analytics experience; or a master’s degree plus 1 year of experience; or 5 years of relevant experience.
- Strong foundations in statistics and machine learning, with experience building robust data pipelines and applying MLOps practices.
- Experience with LLMs, agent frameworks, tool use, planning, multi-step reasoning, and workflow orchestration.
- Ability to communicate model behavior, tradeoffs, and business impact to technical and non-technical audiences.
Nice to have
- Experience with Python, Spark, Scala, or R.
- Experience with scikit-learn, TensorFlow, Torch, optimization models, or advanced data science applications.
- Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility practices.
Culture & Benefits
- Medical, vision, and dental coverage.
- 401(k), stock purchase opportunities, company-paid life insurance, and potential stock compensation.
- Paid time off, sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting leave.
- Short- and long-term disability coverage, company discounts, military leave pay, and adoption and surrogacy reimbursement.
- Walmart-paid education benefits covering tuition, books, and fees for eligible programs.
- Work practices emphasize integrity, inclusion, collaboration, continuous improvement, mentoring, and customer focus.
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