Senior, Data Scientist - Performance Measurement & Insights

Sam’s Club

Bentonville, AR, United States of America
Base: $90,000 - $180,000; bonus/equity: annual or ...
Strong sql and python skills
Experience with large data sets
Cloud-based data platforms
The MAP MINDS team plays a critical role in MAP’s accelerated growth by combining first-party membership data with advanced data science and innovative measurement approaches

Job Summary

  • The MAP MINDS team plays a critical role in MAP’s accelerated growth by combining first-party membership data with advanced data science and innovative measurement approaches.
  • This role requires developing scalable reporting solutions, conducting ad hoc analyses, and acting as the primary analytics expert for Sales and business stakeholders.
  • Sam's Club offers competitive pay, performance-based bonuses, comprehensive health and financial benefits, paid time off, and a company-paid education benefit program.

Matching Summary

The MAP MINDS team plays a critical role in MAP’s accelerated growth by combining first-party membership data with advanced data science and innovative measurement approaches.

Salary

Base: $90,000 - $180,000; Bonus/Equity: Annual or quarterly performance bonuses; Benefits: Health, financial, PTO, education benefits

Skills & Requirements

Must-have

  • Strong SQL and Python skills
  • Experience with large data sets
  • Cloud-based data platforms
  • Experimentation and A/B testing
  • Cross-functional stakeholder management
  • Retail media or ad tech experience

Nice-to-have

  • Machine learning model deployment
  • Knowledge of accessibility best practices
  • Comfortable with ambiguity
  • Fast-paced entrepreneurial environment
  • Salesforce and quota analytics familiarity
  • Inclusive digital experience background

Key Requirements

  • Minimum 2+ years data science experience
  • Bachelor’s or Master’s degree in quantitative field or equivalent experience
  • Experience in analytics or related field
  • Strong knowledge of Python, SQL, PySpark
  • Experience with machine learning libraries and big data tools
  • Familiarity with sales processes and tools

Work Rights

Not specified

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