Staff Data Science, Digital Identity - Walmart : Job Details
Staff Data Science, Digital Identity
WalmartJob Location : Hoboken,NJ, USA
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 building data science initiatives involving machine learning and sometimes Causal Inference methods. The ideal candidate is someone who has a good breadth of knowledge and background in data science involving building and deploying machine learning models in production at industrial scale. Some background in having worked on Causal Inference methods is also desirable. This Causal Inferencework will be used to guide near and long-range planning and 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: Sunnyvale, CA (preferred), San Bruno, CA, Hoboken, NJ or Bentonville, AR You'll sweep us off our feet if...
- Demonstrable background in ML Model Development involving Classical ML and Deep Learning in various domain.
- Knowledge and Familiar with Design of Experiment: A/B Testing, Causal Inference and knowledge of DoWhy, ShowWhy, EconML, Causica or other Causal Inference package.
- You are skilled in Python. Scala is optional.
- You are experienced with either Operational Research (OR), optimization, statistical modeling or background in Machine Learning. Experienced 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
- Good experience in Machine Learning Development Cycle- development, deployment and Monitoring of ml models in production.
- You're naturally curious on how things work and excited by solving challenges at the scale of a Fortune 1 Retailer.
- Support the development of the Customer Decision & Segmentation Engine. Provide data science 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.
- Build and innovate new ideas to enhance AI assisted customer understanding products.
- Mentor other junior data scientists and help in code review, best practices.
- Masters degree in Computer Science, Information Technology or related field.
- 7+ years Data Science, ML experience with some Causal Inference familiarity.
- PhD preferred in Computer Science, Information Technology or related field.