Senior Data Scientist – Customer Science

Senior Data Scientist – Customer Science

  • Location HOBOKEN, NJ
  • Department Marketing
  • Team -
  • Employment Type -
  • Position -
  • Requisition GH1886119

What you'll do at

Walmart’s Customer organization is evolving to the next generation, with a focus on providing the best online and in store experience for customers. Customer Science is an integral part of this organization that leads customer data science, planning and strategy development, customer journey, communications, as well as in store and online experience for the 140 million U.S. customers that shop at Walmart every week. Whether in store or online Walmart is serving customers’ changing needs of retail.

As a part of Walmart’s Customer Data Science team, you’ll be the voice of our customer. Why? Because Sam Walton founded our company with the belief that the customer is #1. It’s not just a belief, but our way of doing business. With the customer at the forefront, we have the ability to help deliver the easiest shopping experience at the lowest cost, both digitally and physically. That’s where you come in.

Walmart’s Customer Data Science is seeking top Senior Data Scientists to work on challenging customer centric business problems across the company. The roles have openings in San Bruno CA, Hoboken NJ and Bentonville AK. Successful candidates will:

  • have extensive exposure to all aspects of Retail/eCommerce from the technical, strategic, and operational perspective
  • work closely with incredibly talented people across the company from a huge variety of backgrounds
  • be challenged by the nature and complexity of what needs to occur in terms of building solutions and the scale involved
  • have access to resources that comes with being part of the largest most successful retail company in the world

How you can impact the company:

  1. Drive core requirements around propensity models and methods for growing customer lifetime value. These models would be used directly for inference, or as input consumed by other business partners or stakeholders across the company.
  2. Support research, development, application and implementation of advanced statistical methodologies and applied behavioral science concepts in the design and analysis of qualitative, observational and randomized controlled experiments. These experiments would be conducted in collaboration with business partners or stakeholders across the company.
  3. Drive core requirements around building machine learning models and methods focused on understanding and predicting customer behavior. Leverage multi-channel customer insights to deliver enhanced personalized customer experience; design interventions to optimize customer lifetime value; build bigger shopper baskets; improve product discoverability.
  4. Support applied research that leverage state-of-the art data science solutions for challenging customer centric retail business problems.
  5. Mentor junior data scientists and analysts within the team.

About you:

  • PhD in Statistics, Applied Math, Economics, Computer Science or related fields.
  • 2+ years of work or research experience post grad-school.
  • Solid knowledge of optimization and statistical modeling.
  • Solid understanding of experimentation methodologies.
  • Robust knowledge of theoretical and applied machine learning with solid experience implementing production quality code.
  • Experience with data science tools and applications e.g. Tensorflow, Keras, Theano, Scikit-learn relational databases systems, Spark, Hadoop, etc.
  • Experience using cloud computing for data processing and modeling.
  • High level of comfort with analytical approaches and quantitative methods to deal with very large datasets.
  • Flexible, collaborative approach to problem solving.


The Walmart US eCommerce team is rapidly innovating to evolve and define the future state of shopping. As the world’s largest retailer, we are on a mission to help people save money and live better. With the help of some of the brightest minds in merchandising, marketing, supply chain, talent and more, we are reimaging the intersection of digital and physical shopping to help achieve that mission.

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