(usa) Staff, Data Scientist

Walmart Walmart · Retail · Crossman Respect Building CA SUNNYVALE, J STREET SPACE AR BENTONVILLE

Staff Data Scientist at Walmart focused on Last Mile Delivery, leveraging advanced analytics and machine learning to optimize operations, ensure platform trust and safety, and drive strategic business decisions. Responsibilities include data sourcing, predictive model development and validation, visualization, translating business problems into data solutions, and mentoring.

What you'd actually do

  1. Identify and source relevant data from multiple business domains, ensuring data quality and fitness for purpose.
  2. Develop and implement data strategies aligned with business objectives to unlock value from data assets.
  3. Design, test, and validate predictive models using advanced statistical and machine learning techniques.
  4. Create clear and impactful data visualizations to communicate insights to stakeholders effectively.
  5. Translate complex business problems into data-driven solutions and guide model deployment and scaling.

Skills

Required

  • Python programming
  • advanced data visualization tools such as Matplotlib, Plotly, and Tableau
  • database technologies including SQL and NoSQL systems
  • Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field OR Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field OR 6 years' experience in an analytics or related field

Nice to have

  • Data science
  • machine learning
  • optimization models
  • PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
  • Using open source frameworks

What the JD emphasized

  • advanced analytical techniques
  • data science methodologies
  • predictive models
  • machine learning techniques
  • data-driven solutions
  • advanced statistical modeling techniques

Other signals

  • leveraging advanced analytical techniques
  • develop and validate predictive models
  • translate complex business challenges into data-driven solutions
  • optimize routing, trip pricing, driver trip matching, delivery commitments, and capacity management
  • platform trust and safety by leveraging advanced data strategies and machine learning techniques