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Walmart

Staff Data Scientist - Digital Identity (Casual Inference)

📍
San Bruno, CA
🧪
Mid-Senior level

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.


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.


About the role:

The Staff 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
  • 7+ years Causal Inference and Experimentation
  • PhD preferred in Computer Science, Information Technology or related field


Benefits & Perks:

Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. The salary wage range for this position in this location is $117000 to $234000.


Equal Opportunity Employer

Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.


Who We Are

Join Walmart and your work could help over 275 million global customers live better every week. Yes, we are the Fortune #1 company. But you’ll quickly find we’re a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the world’s most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you'll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement. From day one, you’ll be empowered and equipped to do the best work of your life. careers.walmart.com

Key informations

🧳
Full-time
📅
Posted 2 months ago

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