Senior, Data Scientist

Position Summary...

Design and develop scalable and efficient knowledge graph solutions to model complex relationships within our vast data sets.

Collaborate with cross-functional teams to identify and extract relevant data from various sources, ensuring data quality and integrity.

Utilize your expertise in knowledge graph construction, ontology development, and semantic reasoning to enhance data integration and analysis.

Develop algorithms and machine learning models to uncover patterns, insights, and predictive analytics within the knowledge graph.

Apply advanced statistical techniques and data visualization methods to effectively communicate complex concepts and findings to both technical and non-technical stakeholders.

Stay up-to-date with the latest advancements in knowledge graph technologies and contribute to the company's knowledge base by sharing best practices and emerging trends.

What you'll do...

Walmart employees more than 2.3 million employees worldwide, with 1.6 million associates in the U.S. Walmart hires 500,000 applicants a year to fill thousands of job profiles from engineers, designers, marketers to pilots and buyers and promotes more than 300,000 people to jobs of greater responsibility. People.AI team is responsible for developing and deploying AI/ML solutions supporting the Global People function.

About Team:
The Enterprise People Technology team supports the successful deployment and adoption of new People technology across the enterprise. As a Fortune #1 company, our work impacts millions of associates globally. We strive to continuously improve people technology and products to help managers and associates so they can focus on what matters most - supporting our customers and members. People Technology is one of the major segments of Walmart Global Techs Enterprise Business Services, which is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, and the Associate Digital Experience.

What you'll do:

• Work in a highly collaborative environment with a multidisciplinary team.
• Work with data scientists to design, architect, and build AI/ML model and model systems.
• Work with machine learning engineers to deploy, operate, and optimize scalable solutions
• Work with product managers to design user journeys, feedback loop and analyze user telemetry.
• Create opportunities to develop yourself with an end-to-end AI/ML product experience.
• Work with a set of robust work standards to ensure we build trustworthy AI/ML solutions

What you'll bring:

Experience with statistical analysis and programming languages e.g. Python and mainstream machine learning frameworks, e.g. Tensor Flow or Py Torch.

• Expertise in building and deploying machine learning models for real-world applications.
• Experience with model evaluation, optimization, and tuning for performance improvements.
• Ability to lead end-to-end data science projects, from solution design, data collection and preprocessing to model development, validation, and deployment.
• Collaborate with domain experts to define problem statements and translate business objectives into actionable data science solutions.
• Added bonus if you have experience with Large Language Model or creation, maintenance, and utilization of knowledge graphs, working with graph databases such as Neo4j, or similar.