Senior Data Scientist, AI Labs

Walmart Walmart · Retail · Bentonville, AR

Senior Data Scientist at Walmart AI Labs focused on developing and deploying advanced AI models to solve complex business problems. This role involves data analysis, model development, and collaboration with cross-functional teams, leveraging big data technologies and cloud platforms.

What you'd actually do

  1. Lead and drive the development of advanced AI models and algorithms to solve complex business problems, leveraging expertise in analytics, big data, and automation methods.
  2. Collaborate with cross-functional teams to identify business needs and translate them into data-related or mathematical solutions, using the most effective tools and methods available.
  3. Provide expert guidance and advice to team members, aligning efforts to meet customer and business needs, and fostering commitment to perspectives and rationales.
  4. Understand the business context by having knowledge of industry and environmental factors, common business practices across multiple domains, and relevant business metrics.
  5. Provide recommendations to business stakeholders, develop business cases for projects, and serve as a bridge between business needs and tangible solutions.

Skills

Required

  • Implementing data analysis and data mining using Python and R for data-driven decision making
  • Applying SQL and NoSQL databases for data management and management
  • Experience with data mining algorithms and techniques: GLMs, CART/CHAID, Random Forests, Gradient Boosting, Cluster Analysis, Recommender systems, Time Series Analysis, Survival Analysis, Text Mining
  • Python or R and SQL
  • Working in big data environments like Hadoop, Hive or Spark
  • Coding in languages including Java, C++, and Python for solution development and deployment
  • Using Docker containerization and Kubernetes for encapsulating applications and their dependencies for consistent operation
  • Utilizing Cloud platform for scalable and flexible application deployment and operation, such as Microsoft Azure and AWS
  • Using Git for version control
  • Leveraging analytics and automation techniques to translate business problems into mathematical solutions

What the JD emphasized

  • advanced AI models and algorithms
  • translate business problems into mathematical solutions

Other signals

  • Develop and test code for AI solutions
  • advanced AI models and algorithms
  • translate business problems into mathematical solutions