Position Summary...What you'll do...**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:The Staff, Data Scientist will leverage advanced analytical techniques and data science methodologies to deliver actionable insights that support strategic business decisions. This role involves identifying and validating data sources, developing predictive models, and deploying scalable solutions while ensuring data quality and governance standards. The position requires collaboration across functions to translate complex business challenges into data-driven solutions, utilizing expertise in machine learning, statistical analysis, and data visualization. The successful candidate will also mentor team members and contribute to continuous improvement initiatives aligned with organizational goals.
What you'll do: - Identify and source relevant data from multiple business domains and distributed data stores to support analytics initiatives.
- Perform data quality assessments and ensure data is fit for purpose in alignment with business requirements.
- Develop and validate predictive models using advanced statistical and machine learning techniques to address complex business problems.
- Create clear and impactful data visualizations to communicate insights effectively to stakeholders.
- Collaborate with cross-functional teams to translate business needs into data-driven solutions and strategies.
- Deploy and monitor models in production environments, ensuring scalability and performance.
- Mentor team members on analytical methods, coding best practices, and data storytelling.
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.
- Proficiency in predictive analytics, machine learning algorithms, and advanced statistical methods to develop and validate robust models.
- Strong programming skills in Python and experience with data visualization tools such as Matplotlib, Plotly, or Tableau.
- In-depth understanding of data strategy, including data quality standards, governance, and scalable data storage solutions.
- Ability to translate complex business requirements into data-driven solutions and actionable insights.
- Experience with exploratory data analysis, feature engineering, and model deployment in production environments.
- Knowledge of database technologies including SQL and NoSQL for effective data sourcing and management.
- Excellent communication skills to present technical findings clearly to business stakeholders.
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.
Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field
Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, PhD 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), We value candidates with a 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. The ideal candidate would have 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.
Primary Location...815 Eleventh Ave, Sunnyvale, CA 94089-4731, United States of America
