(USA) Staff, Data Scientist
Position Summary
The Walmart is seeking a Staff Data Scientist to leverage advanced analytics and machine learning techniques to solve complex business challenges. This role involves identifying and sourcing relevant data, developing predictive models, and delivering actionable insights that drive strategic decisions.
What you'll do
- Identify and source relevant data from multiple business domains and databases to support analytics initiatives.
- Conduct data quality assessments and ensure data integrity for accurate analysis and modeling.
- Develop, validate, and tune predictive models using advanced statistical and machine learning techniques.
- Design and implement data visualizations to effectively communicate insights to stakeholders.
- Translate complex business problems into data-driven solutions aligned with strategic objectives.
- Collaborate with cross-functional teams to deploy scalable models and monitor their performance.
- Mentor team members on analytical methods, coding best practices, and data storytelling.
About the team
The team specializes in leveraging advanced analytics, including AB testing, product analytics, and business analytics, to drive data-informed decisions. They apply predictive analytics, machine learning algorithms, and data visualization techniques to extract actionable insights. Collaborating across functions, the team supports business objectives by identifying data sources, ensuring data quality, and developing scalable models. Members utilize programming skills in Python and exploratory data analysis to solve complex problems. The team fosters continuous learning and innovation, delivering impactful solutions that enhance business performance and customer experiences through strategic data initiatives.
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
- 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.