Senior, Data Scientist | Personalization | Sunnyvale

Walmart Inc

Sunnyvale, CA, United States
Base: $117,000.00 - $234,000.00; bonus/equity: ann...
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Master's or ph.d. in data science or related field
Expertise in machine learning and statistics
Experience building large scale ml models
** Walmart Global Tech is seeking a Senior Data Scientist for their Personalization team in Sunnyvale, CA. The role focuses on developing advanced machine learning models to enhance customer shopping experiences within eCommerce. **

Job Summary

  • This role offers the opportunity to explore real-world large-scale eCommerce data to build DS/ML models that improve customer shopping experiences.
  • The team works closely with US stores and eCommerce business to empower members, stores, and merchants with technological innovation across groceries, entertainment, and more.
  • Walmart Global Tech provides a competitive compensation package including incentive awards, 401(k) match, stock purchase plans, and paid parental leave.

Matching Summary

Match Score: 75

** Walmart Global Tech is seeking a Senior Data Scientist for their Personalization team in Sunnyvale, CA. The role focuses on developing advanced machine learning models to enhance customer shopping experiences within eCommerce. **

Salary

Base: $117,000.00 - $234,000.00; Bonus/Equity: Annual or quarterly performance bonuses; Stock included for certain positions; Benefits: Medical, vision, dental, 401(k), PTO, tuition reimbursement

Skills & Requirements

Must-have

  • Master's or Ph.D. in Data Science or related field
  • Expertise in machine learning and statistics
  • Experience building large scale ML models
  • Designing scalable Recommender Systems
  • Knowledge of deep learning and reinforcement learning

Nice-to-have

  • Curiosity in state-of-the-art recommendation techniques
  • Exceptional business acumen and problem-solving skills
  • Outstanding communication and leadership skills
  • Ability to prototype complex AI solutions
  • Background in creating inclusive digital experiences

Key Requirements

  • Master's degree or Ph.D. in Data Science, CS, or related field
  • 3 years experience in analytics (or 1 year with Master's)
  • Proven experience designing and deploying scalable Recommender Systems

Work Rights

Not specified

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