(usa) Director, Data Science- Testing and Measurements

Walmart · Retail · Bentonville, AR

Lead the development and deployment of advanced data science solutions, leveraging machine learning and automation to address complex business challenges. Translate business requirements into data strategies and analytical models that drive measurable business impact and align with organizational goals. Oversee code development, testing, and validation to ensure robust, scalable, and maintainable data products. Guide data source identification, quality assessment, and integration to support accurate and actionable insights. Mentor and develop data science teams, fostering technical excellence and continuous learning. Collaborate cross-functionally to communicate findings and influence data-driven decision-making.

What you'd actually do

  1. Lead the development and deployment of advanced data science solutions, leveraging machine learning and automation to address complex business challenges.
  2. Translate business requirements into data strategies and analytical models that drive measurable impact and align with organizational goals.
  3. Oversee code development, testing, and validation to ensure robust, scalable, and maintainable data products.
  4. Guide data source identification, quality assessment, and integration to support accurate and actionable insights.
  5. Mentor and develop data science teams, fostering technical excellence and continuous learning.

Skills

Required

  • Python
  • SQL
  • Java
  • coding and testing capabilities
  • data strategy
  • data quality assessment
  • identifying appropriate data sources

Nice to have

  • machine learning
  • optimization models
  • scikit learn
  • tensorflow
  • torch
  • Web Content Accessibility Guidelines (WCAG) 2.2 AA standards
  • assistive technologies

What the JD emphasized

  • advanced data science and machine learning techniques
  • advanced data science solutions
  • machine learning and automation
  • analytical models
  • scalable models
  • model validation and lifecycle management
  • data science, machine learning algorithms, and advanced analytical modeling techniques
  • develop and deploy scalable models
  • ongoing model validation and lifecycle management
  • data science, machine learning, optimization models

Other signals

  • leveraging advanced data science and machine learning techniques
  • develop and validate innovative solutions
  • deploy scalable applications that drive measurable business impact
  • lead the development and deployment of advanced data science solutions
  • leverage machine learning and automation
  • translate business requirements into data strategies and analytical models
  • develop and deploy scalable models
  • ongoing model validation and lifecycle management