Staff Data Scientist - Digital Identity (Causal In...
Walmart

What you'll do at

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.

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 Scientistwill lead our development efforts on Causal Inference Processes and Services. This Causal Inferencework 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

Hybrid office environment

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

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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You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
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For information about PTO, see https://one.walmart.com/notices.

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Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
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Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
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For information about benefits and eligibility, see One.Walmart.

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The annual salary range for this position is $143,000.00-$286,000.00
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Additional compensation includes annual or quarterly performance bonuses.
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Additional compensation for certain positions may also include:
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- Stock
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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.

Primary Location...

850 Cherry Avenue, San Bruno, CA 94066-3031, United States of America

About Walmart

At Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability-and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries-all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. What are you waiting for?

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, abilities, ideas and opinions- while being inclusive of all people.

"At Walmart, you have the support you need at any given moment no matter the circumstance." - Shelby, Project Analyst

Hello, Silicon Valley

You don't have to choose between your career and your lifestyle. In Silicon Valley, you can have both.

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