(USA) Senior, Data Scientist
About The Position
As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and domain expertise to identify, develop, and deploy data-driven solutions that support strategic business objectives. This role focuses on scaling and optimizing GPU infrastructure for model training, conducting performance benchmarking, and deploying generative LLM models for online inference. You will collaborate across functions to translate complex business challenges into innovative data strategies, mentor team members, and uphold high standards of integrity and excellence. Your expertise will drive impactful decisions that enhance operational efficiency and customer value within a dynamic, data-centric environment. The team develops a foundation model tailored for Walmart’s e-commerce platform, analyzing billions of user interactions to create deep representations of users, items, and queries. This supports scalable search, advertising, and personalization solutions. Members apply expertise in data science, machine learning, and Python programming to optimize model performance and deployment. The group emphasizes rigorous data quality, advanced analytics, and effective visualization to deliver actionable insights. Collaboration across functions ensures alignment with business goals, driving innovation and continuous improvement in data-driven decision-making within a dynamic technology environment.
Requirements
- Extensive experience in data science and advanced analytical modeling techniques, including machine learning and statistical methods.
- Proficiency in programming languages such as Python and SQL for code development, testing, and model deployment.
- Experience with distributed training techniques, data parallelism, model parallelism, and frameworks like Horovod, DeepSpeed, or PyTorch Distributed.
- Familiarity with building and maintaining APIs for model inference, scalable microservices design, and infrastructure tooling.
- Strong knowledge of data visualization tools and best practices to effectively communicate insights to stakeholders.
- Expertise in data source identification, data quality assessment, and data strategy aligned with business objectives.
- Experience mentoring associates and collaborating cross-functionally to deliver data-driven business solutions.
- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.
- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
- 5 years' experience in an analytics or related field.
- Provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.
Nice To Haves
- Data science, machine learning, optimization models
- Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
- Successful completion of one or more assessments in Python, Spark, Scala, or R
- Using open source frameworks (for example, scikit learn, tensorflow, torch)
- Background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
- Knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.
Responsibilities
- Identify and source relevant data from multiple business domains, ensuring data quality and suitability for analysis.
- Develop, test, and deploy advanced analytical models using programming languages such as Python and SQL.
- Benchmark profiling tools to analyze and optimize GPU utilization and training throughput for machine learning workloads
- Implement distributed inference techniques for large-scale LLM deployments using VLLM
- Perform exploratory data analysis and feature engineering to enhance model accuracy and business insights.
- Collaborate with stakeholders to translate business requirements into data-driven solutions and actionable recommendations.
- Support scalability and sustainability of models in production environments through MLOps best practices.
Benefits
- Competitive pay
- Performance-based bonus awards
- Medical coverage
- Vision coverage
- Dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- PTO (including sick leave)
- Parental leave
- Family care leave
- Bereavement
- Jury duty
- Voting leave
- Short-term disability
- Long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes
- Live Better U (Walmart-paid education benefit program for full-time and part-time associates)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
