**Immigration sponsorship is not available for this role. Applicants must be authorized to work for any employer in the United States without current or future visa sponsorship. This is a full-time onsite role based in Sunnyvale, California; remote and hybrid options are not available.**
Are you a hands-on, full-stack Data Scientist who can architect machine learning solutions for complex business challenges, own the journey from model development to production deployment, and drive large-scale impact using AI, deep learning, and GenAI
at Walmart?
Role summary:As a
Staff Data Scientist, you will
architect machine learning solutions for complex and ambiguous business problems, perform hands-on data exploration, processing, and analysis on massive datasets, and leverage state-of-the-art machine learning, deep learning, data mining, and GenAI techniques to develop scalable predictive models. You will design low-latency services to host and productionize models on the cloud, research advanced algorithms to solve challenging business problems, and communicate results to stakeholders through impactful presentations, publications, and internal or external conferences, while contributing to the team's core machine learning and software engineering capabilities.
About the Team: Our team collaborates closely with Walmart U.S. stores and eCommerce to enhance customer experiences by empowering associates, stores, and merchants through technological innovation. We support a broad product range, including groceries, entertainment, sporting goods, and crafts, available online and in-store. Key focus areas include customer engagement, store operations, merchant tools, data science, and personalized search solutions. Leveraging advanced analytics and data-driven insights, the team drives continuous improvement to meet business goals and deliver value across multiple channels, ensuring Walmart remains a trusted and convenient shopping destination.
What you'll do: - Identify and source relevant data from multiple business domains and databases to support analytics initiatives.
- Perform data quality assessments and ensure data integrity for accurate model development.
- Develop, validate, and tune predictive models using advanced statistical, machine learning, deep learning, LLM techniques.
- Design and implement data visualizations to effectively communicate insights to stakeholders.
- Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
- Deploy and monitor models in production environments, ensuring scalability and performance.
- Mentor team members on analytical methods, coding best practices, and solution design.
What you'll bring: - Ph.D. in Computer Science, Data Science, Statistics, Machine Learning, Artificial Intelligence, Mathematics, or a related quantitative field with 5+ years of relevant industry experience, or a Master's degree in a related quantitative discipline with 7+ years of experience architecting, building, and deploying machine learning solutions in production.
- Proven expertise in data science, including predictive analytics, machine learning algorithms, and deep learning techniques.
- Proficiency in programming languages such as Python and experience with data visualization tools like Matplotlib, Plotly, Tableau, or PowerBI.
- Strong knowledge of data strategy, data quality standards, and data governance principles.
- Experience with big data analytics, unstructured data processing, and MLOps for model deployment and scaling.
- Ability to assess, validate, and tune models using statistical methods and evaluation metrics.
- Skilled in translating complex business requirements into data-driven solutions and actionable insights.
- Effective communication skills to present data findings clearly to stakeholders and guide junior team members.
Benefits:Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
