At Walmart, the Customer Decision Science team analyzes customer behavior across various touchpoints to improve the shopping experience. The Staff Data Scientist will leverage data and analytics to identify factors influencing customer engagement and support strategic decision-making to grow the online and omni-channel customer base value.
Requirements
- Direct experience working with very large data-sets in bigquery or similar platforms including building in-database ML models
- Experience with at least one scripting language (R, Python). Should be able to independently build a repository of functions to continually automate data science workflows preferably using dbplyr interface and Bigquery as the backend
- Deep expertise in writing and debugging complex SQL queries
- Mastery over the fundamentals of supervised/ unsupervised learning and causal inference
- Using open source frameworks (for example, scikit learn, tensorflow, torch)
- Successful completion of one or more assessments in Python, Spark, Scala, or R
- Data Science & Analytics expertise – You excel at designing and building new and impactful KPIs and metrics to measure customer and competitive dynamics.
Responsibilities
- Drive the development of quantitative analysis and predictive models to support decision making
- Design and execute experiments to achieve business objectives and drive optimization
- Analyze and maintain customer KPIs and metrics to identify cause-effect relationships between business actions and behavioral & attitudinal customer outcomes
- Ownership of team level sql views, feature store pipelines for at least 2 business domain areas
- Translate data insights into actions and recommendations and self-serve products
- Produce visuals (charts, infographics) and presentations to clearly and effectively communicate findings to stakeholders and leadership
- Partner with Data and tech Engineers to define data and tracking requirements
Other
- Partner with C-suite, corporate strategy, marketing, merchandising, research, product, finance and engineering organizations to drive outcomes
- Have a very strong product mindset and proactively ideate and design relevant data products
- Well balanced skills – People have trouble pinning you down. Both business and technical/ data teams claim you as their own. You are equal parts technical and functional. You are equally comfortable and effective in persuading both technical and business audience
- Great communicator – You’re capable of telling the story behind the data and resulting insights to exec audience and you are a pro at building slide decks that can simplify any complex story.
- Business acumen – You are able to anticipate the needs of business stakeholders in the relevant business context
