3 дня назад
Principal Data Scientist (AI)
143 000 - 286 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Data Scientist (AI): Building scalable AI- and LLM-powered data products and advanced statistical models for market and competitive intelligence with an accent on structured and unstructured data, machine learning, and enterprise decision support. Focus on designing workflow-automation agents, validating model outputs through guardrails and human-in-the-loop review, and translating competitive insights into business actions.
Location: San Bruno, California, United States
Salary: $143,000–$286,000 annually, plus performance-based bonuses and possible stock compensation.
Company
develops retail advertising and data-driven solutions within Walmart.
What you will do
- Analyze large, complex datasets to identify trends, patterns, competitive performance insights, and growth opportunities.
- Research, develop, and implement advanced statistical models and machine learning algorithms for structured and unstructured data.
- Build scalable AI- and LLM-powered data products for business partners and customers.
- Develop AI and LLM-powered agents for workflow automation and information extraction.
- Communicate findings through reports, visualizations, and presentations for technical and non-technical stakeholders.
- Guide and mentor junior data scientists.
Requirements
- Master’s degree in Data Science, Computer Science, Statistics, or a related analytical discipline with 4+ years of relevant post-graduate experience, or a PhD with 2+ years of relevant post-graduate experience.
- Alternatively, a bachelor’s degree with 5 years of analytics experience, a master’s degree with 3 years of analytics experience, or 7 years of experience in an analytics-related field.
- Strong proficiency in Python and SQL.
- Strong data engineering foundation, including modular code, pipeline architecture, and performance optimization.
- Hands-on experience scaling AI/LLM-powered agents, evaluating outputs, implementing guardrails, validating accuracy, and applying human-in-the-loop review.
Nice to have
- Experience with Spark, Scala, R, scikit-learn, TensorFlow, or PyTorch.
- Background in data science, machine learning, optimization models, or related research and publications.
- Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility practices.
Culture & Benefits
- Medical, vision, and dental coverage.
- 401(k), stock purchase plan, company-paid life insurance, and disability benefits.
- Paid time off, sick leave, parental leave, family care leave, and other leave programs.
- Employee discounts and adoption and surrogacy expense reimbursement.
- Walmart-paid education programs covering tuition, books, and fees for eligible associates.
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