Senior Data Scientist, Customer Digital Identity (Causal Inference)

Position Summary...

What you'll do...

At Walmart, we enable the connection between supplier brands and retail shoppers at unprecedented scale. As primary stewards of our brand promise, “Save Money. Live Better,” we work alongside some of the most talented people in the world to engage with the more than 150M households who shop with us. This is a unique opportunity to join a high growth business within the largest company in the world.  We believe all digital advertising can be targeted and accountable – and we have Walmart’s sales data to prove it. Walmart Connect wins when suppliers invest in digital media to drive growth; Walmart and our supplier partners win when your digital expertise helps sell more goods online and offline. Growth in our digital advertising business is key to Walmart’s overall growth strategy.

About the role:

The Customer Digital Identity (CDI) organization is enabling the company to better understand who the Walmart customer is. At the same time, we are ensuring streamlined processes, security, scalability, regulatory compliance and best in class customer experience.  The CDI team will amplify customer centricity by deepening the company’s understanding of customers and their preferences. When we do that, we can serve them when and how they need.  This team will work with other teams within the Walmart Membership (W+), Walmart Connect (WMC) and Data Ventures.

The Senior Data Scientist will lead our development efforts on Causal Inference Processes and Services. This Causal Inference work will be used to guide near and long-range planning. This Causal Inference work will inform strategic insights and guide future experimental design. This exciting opportunity will join a team of data scientists embedded within the business unit to develop tools that quantify the impact of investment and operational decisions on the Customer, Associate and Shareholder.

Location:

San Bruno, CA or Sunnyvale, CA

You’ll sweep us off our feet if…

• You have experience in the development of Causal Inference (Judea Pearl) work product and frameworks. Knowledge of DoWhy, ShowWhy, EconML, Causica or other Causal Inference package.
• Familiar with Design of Experiment: A/B, Full Factorial, Partial Factorial, Plackett Burman
• You are skilled in Python.  R, Scala are optional.
• You are experienced with Operational Research (OR), modeling, optimization, statistical modeling, Ridge/Lasso and elastic net regression. Familiar with ML frameworks: Scikit learn, TensorFlow, PyTorch.
• You are experienced in basic ETL practices. SQL experience is required, working experience in SparkSQL or PySpark is preferred.
• You have experience with cloud environments including Azure, Google Cloud, etc.
• Solid MLOps practices including good design documentation, unit testing, integration testing and source code control (git).
• You are experienced with agile methodologies using project planning and tracking management tools e.g., JIRA
• You’re naturally curious on how things work and excited by solving challenges at the scale of a Fortune 1 Retailer.

You’ll make an impact by…

• Examine business hypotheses leveraging Causal Inference analysis to develop deep understanding on causal relationships. Publish and curate Causal Inference findings to support operational decision making. Update inference findings with experimental results.
• Support the development of Experiments to test Causal Inference findings.
• Support the development of the Customer Decision Engine. Provide Causal Inference capabilities to cover the entire customer shopping journey.
• Identify data collection opportunities to better understand the customer/associate experience. Support the build out of data feature store.
• Identify data collection opportunities to better understand the customer/associate experience. Support the build out of the customer intelligence platform and data feature store.

Qualifications:

• Masters degree in Computer Science, Information Technology or related field
• 5+ years Causal Inference and Experimentation
• PhD preferred in Computer Science, Information Technology or related field

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

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