6 дней назад
Staff Data Scientist (Machine Learning)
143 000 - 286 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Staff Data Scientist (Machine Learning): Building analytical foundations, experimentation frameworks, and product insights for Walmart's eCommerce discovery, navigation, deals, and recommendation experiences with an accent on product analytics, customer behavior analysis, and large-scale experimentation. Focus on designing causal experiments, developing reproducible SQL/Python/PySpark workflows, interpreting ML-driven product behavior, and influencing product decisions through clear analytical storytelling.
Location: Sunnyvale, California, United States
Annual salary: $143,000–$286,000, plus performance-based bonuses and possible stock compensation.
Company
develops advertising and eCommerce experiences that help Walmart customers discover relevant products and services.
What you will do
- Define success metrics, measurement strategies, and opportunity assessments for discovery features and recommendation algorithms.
- Analyze clickstream data, user logs, customer engagement, funnels, cohorts, attribution, and retention across discovery pages.
- Design and evaluate large-scale A/B tests using power analysis, guardrail metrics, quasi-experimental methods, and causal inference.
- Use SQL across BigQuery, Hive, and Spark, and build reproducible analytical pipelines with Python and PySpark.
- Apply machine learning concepts, data mining, and feature diagnostics to understand product and model performance.
- Translate analytical findings into product recommendations and influence Product, Engineering, Business, UX, and Data Science partners.
Requirements
- Eligible degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, or equivalent analytics experience.
- At least 6 years of experience in analytics or a related field; preferred profiles include 8+ years of product analytics, data science, applied analytics, or experimentation experience.
- Expert-level SQL and strong Python programming skills.
- Hands-on experience designing and analyzing large-scale A/B tests.
- Knowledge of machine learning model concepts and evaluation techniques.
- Strong communication, analytical storytelling, stakeholder management, and cross-functional collaboration skills.
Nice to have
- Experience with optimization models, open-source frameworks such as scikit-learn, TensorFlow, or Torch, and assessments in Python, Spark, Scala, or R.
- PhD or master's degree in machine learning, computer science, information technology, operations research, statistics, applied mathematics, econometrics, business administration, or information systems.
- Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility practices.
Culture & Benefits
- Full-time employment with medical, vision, and dental coverage.
- 401(k), stock purchase options, company-paid life insurance, and performance-based compensation.
- Paid time off, sick leave, parental leave, family care leave, bereavement leave, jury duty leave, and voting leave.
- Short- and long-term disability coverage, discounts, military leave pay, and adoption and surrogacy expense reimbursement.
- Walmart-funded education programs covering tuition, books, and fees for eligible employees.
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