(USA) Data Scientist III
About The Position
The (USA) Data Scientist III plays a critical role in leveraging advanced analytical methods and machine learning techniques to transform complex data into actionable business insights. This position requires expertise in data management, statistical modeling, and scalable model deployment to support strategic decision-making. The role involves collaborating across functions to address business challenges, developing custom analytical solutions, and mentoring team members. A strong understanding of data ecosystems, coding proficiency, and business context is essential to drive innovation and deliver measurable value aligned with organizational goals. About the team: The Applied AI team focuses on developing advanced Search and Personalization solutions to improve the shopping experience through relevant and intuitive product discovery. Utilizing machine learning, deep learning, and generative AI, the team builds scalable systems aligned with business objectives. Members collaborate by applying expertise in algorithms, data analysis, and solution design to deliver impactful results. The team fosters a professional environment emphasizing technical excellence, continuous improvement, and customer-focused innovation, driving significant advancements in data science and artificial intelligence within the organization.
Requirements
- Proven expertise in data management, data quality standards, and data governance to ensure reliable and scalable data solutions.
- Advanced proficiency in statistical methods, machine learning algorithms, and predictive modeling techniques to develop and deploy analytical models.
- Strong programming skills in SQL, Python, and related languages for code development, testing, and model implementation.
- Experience with big data analytics platforms and tools, including AWS SageMaker and MLOps practices, to support model scalability and sustainability.
- Ability to translate complex business requirements into data-driven solutions with sound analytical and problem-solving capabilities.
- Demonstrated knowledge of data visualization tools and techniques to effectively communicate insights and model outcomes.
- Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field.
- Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
- 4 years' experience in an analytics or related field.
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
- Apply advanced statistical methods and machine learning techniques to develop predictive models and analytical solutions.
- Conduct exploratory data analysis, feature selection, and hypothesis testing to support business decision-making.
- Collaborate with cross-functional teams to translate business requirements into data-driven strategies and solutions.
- Develop, test, and deploy scalable analytical models ensuring alignment with data quality and governance standards.
- Utilize programming languages such as SQL and Python to manage data and automate analytical processes.
- Mentor junior associates in modeling techniques and data analysis best practices.
- Generate clear data visualizations and reports to communicate insights effectively to stakeholders.
Benefits
- Medical insurance
- Vision insurance
- Dental insurance
- 401(k)
- Stock purchase
- Company-paid life insurance
- PTO (including sick leave)
- Parental leave
- Family care leave
- Bereavement leave
- Jury duty leave
- Voting leave
- Short-term disability
- Long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- Tuition, books, and fees are completely paid for by Walmart (Live Better U program)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
