Senior Data Scientist - Digital Identity (Causal Inference)

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. This team will work with other teams within the Walmart Membership (W+), Walmart Connect (WMC) and Data Ventures. 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.

About the role:

We are looking for a Senior Data Scientist to lead the development and improvement of cutting-edge machine learning and deep learning models powering Walmart Customer Modeling. Digital Identity Customer Modeling team will work with a nimble startup like Walmart’s Data Ventures and build the best-in-class suite of Data Products to deliver actionable, customer-centric insights and Walmart connect focused on Adtech business and Walmart+ focused on membership business. As a Senior Data Scientist, you will design and implement scalable data science solutions working with business, product, and engineering partners and deliver outstanding business outcomes.

Location:

San Bruno, CA or Sunnyvale, CA

Hybrid flexible in office environment

Position Responsibilities:

• The Senior Data Scientist is responsible for end-to-end data science solutions for our data products.
• Has experience with traditional, as well as modern Machine Learning/Statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning
• Works closely with data engineers, analysts, ML Engineers and application developers to help build ML and statistics driven models.
• Have a deep interest and passion for technology. You love writing and owning codes and enjoy working with people.
• Good at analyzing existing code, finding bugs in the existing solutions and recommending how to improve or enhance the baseline.
• Communicate complex models and analysis in a clear and precise manner coupled with actionable conclusions and recommendations.
• You have strong problem solving, analytic, decision-making capabilities and excellent communication with interpersonal skills.
• You level up when you have the opportunity to teach others and empower those around you to excel.

You’ll sweep us off our feet if:

• You have hands-on experience with Python, PySpark, SQL and the ability to write reusable and efficient code to automate machine learning pipeline and data processes.
• You have experience with deep learning library like TensorFlow and/or PyTorch as well as experience with Spark and/or Hadoop.
• Have strong knowledge of Statistics, Machine Learning, Deep Learning and NLP/NLU.
• Have applied industry experiece in NLP/NLU, Forcasting and Anomaly detection solution development.
• Built solutions that are easy to integrate into external framework or existing platforms.
• You bring strong engineering mindset and exposure to software engineering principles, Agile methodologies.
• Functional knowledge of Google Cloud Platform or Azure Machine Learning Platform and their ML and compute components.
• Experience in Retail customer behavior analysis and designing algorithms on Hadoop ecosystem at scale.

Preferred Qualifications:

• Master’s degree 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)

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.

Additional compensation includes annual or quarterly performance bonuses.

Additional compensation for certain positions may also include:

- Stock

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