Senior, Data Scientist - Performance Measurement & Insights

Walmart Walmart · Retail · Bentonville, AR

Senior Data Scientist role focused on performance measurement and insights within Walmart's Sam's Club Member Access Platform (MAP). The role involves developing reporting solutions, analyzing performance trends, supporting business case development, conducting ad hoc analyses, and contributing to experimentation design. While the role mentions partnering to design, train, test, and deploy ML models, its primary focus is on leveraging data for business insights and reporting rather than core AI/ML model development.

What you'd actually do

  1. Develop and maintain scalable reporting solutions and dashboards for Sales and business stakeholders
  2. Partner cross-functionally to identify automation opportunities and improve reporting efficiency
  3. Analyze performance trends and translate findings into actionable insights
  4. Support business case development and evaluate new initiatives through data-driven analysis
  5. Conduct ad hoc analyses to explain revenue trends and campaign performance and measurement

Skills

Required

  • Minimum 2+ years of experience in data science
  • Strong SQL skills and proficiency in Python (PySpark preferred)
  • Experience with large data sets and cloud-based data platforms
  • Experience partnering with data scientists, engineers, and product managers to design, train, test, and deploy ML models
  • Exposure to experimentation, A/B testing, or performance measurement frameworks
  • Ability to translate business problems into analytical approaches
  • Strong communication skills and ability to work with cross-functional teams
  • Proven ability to manage multiple priorities independently in a cross-functional environment
  • MS (or equivalent experience) in Computer Science, Statistics, Applied Mathematics, Engineering, or related quantitative field
  • Strong knowledge of Python, SQL, PySpark, Machine Learning Libraries, Big Data processing systems in cloud environment is expected.
  • Experience working cross-functionally with product and technical teams

Nice to have

  • Familiarity with sales processes and tools (e.g., Salesforce, quota and territory analytics)
  • Experience in retail media, advertising, or ad tech is a plus
  • Familiarity with machine learning libraries and big data tools (e.g., Spark)
  • Sound knowledge of Ad tech and prior Retail Media working knowledge is a plus

What the JD emphasized

  • partnering with data scientists, engineers, and product managers to design, train, test, and deploy ML models
  • Experience partnering with data scientists, engineers, and product managers to design, train, test, and deploy ML models

Other signals

  • Develop and maintain scalable reporting solutions and dashboards for Sales and business stakeholders
  • Analyze performance trends and translate findings into actionable insights
  • Support business case development and evaluate new initiatives through data-driven analysis
  • Conduct ad hoc analyses to explain revenue trends and campaign performance and measurement
  • Contribute to experimentation design (A/B testing) and measurement frameworks
  • Build quick automaton tools to drive quick data synthesis
  • Act as the primary point of contact for Sales, offering insights into metric movements and trends and providing data-driven insights.
  • Lead and conduct ad hoc analyses, ranging from creating new metrics to identifying the root causes of revenue fluctuations.
  • Experience partnering with data scientists, engineers, and product managers to design, train, test, and deploy ML models
  • Exposure to experimentation, A/B testing, or performance measurement frameworks