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About the Role
The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and deploy robust predictive models that drive strategic business decisions. This role requires expertise in statistical modeling, machine learning, and data visualization to translate complex data into actionable insights. The position involves collaborating with cross-functional teams to align data solutions with business objectives, mentoring associates, and ensuring the continuous improvement of data science practices. The ideal candidate demonstrates strong technical proficiency, business acumen, and effective communication skills to influence stakeholders and support Walmart’s commitment to innovation and operational excellence.
Responsibilities
- Lead the development, assessment, and validation of advanced data science models using best practices for accuracy, robustness, and scalability.
- Design and implement data visualization solutions to effectively communicate complex insights to business stakeholders.
- Collaborate with cross-functional teams to translate business requirements into actionable data science projects aligned with strategic goals.
- Guide and mentor team members on advanced modeling techniques, feature engineering, and experimentation frameworks.
- Oversee deployment and continuous monitoring of models in production environments to ensure optimal performance.
- Drive data source identification, quality assessment, and integration to support analytical initiatives.
- Foster a culture of continuous improvement by leveraging emerging machine learning and AI methodologies.
Requirements
- Extensive experience in data science, machine learning, and advanced statistical modeling techniques.
- Proficiency in Python, SQL, and data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI.
- Strong knowledge of model assessment, validation, and tuning methods including ROC curve and root mean square error.
- Ability to translate complex business requirements into data-driven solutions and actionable insights.
- Expertise in designing experiments, causal inference, and decision science to support business strategies.
- Proven leadership skills with experience mentoring and guiding technical teams.
- Excellent communication skills to present data findings effectively to diverse stakeholders.
- Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.
- Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field.
- 7 years' experience in an analytics or related field.
Skills
- Data science
- Machine learning
- Advanced statistical modeling
- Python
- SQL
- Matplotlib
- Plotly
- Tableau
- PowerBI
- Model assessment
- Model validation
- Model tuning
- ROC curve
- Root mean square error
- Experiment design
- Causal inference
- Decision science
- Leadership
- Mentoring
- Communication
- Data visualization
- Optimization models
- PhD in Machine Learning
- Computer Science
- Information Technology
- Operations Research
- Statistics
- Applied Mathematics
- Econometrics
- Spark
- Scala
- R
- Supervisory experience
- scikit learn
- tensorflow
- torch
- Web Content Accessibility Guidelines (WCAG) 2.2 AA standards
- Assistive technologies
Location
- Denver, Colorado
- NEW YORK, New York
Work Type
- Full-time
Experience Level
- Senior
- Manager
Education Level
- Bachelors degree
- Masters degree
- PhD
Salary/Compensations
- $121,000.00 - $242,000.00
- $132,000.00 - $264,000.00
Benefits
- Performance-based bonus awards
- Medical coverage
- Vision coverage
- Dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- PTO
- 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 expense reimbursement
- Surrogacy expense reimbursement
- Live Better U (Walmart-paid education benefit program)
About the Company
- The Walmart/VIZIO Data Science team provides the analytical foundation for product decisions by leveraging experimentation and causal measurement.
- The team collaborates across functions to identify key drivers of user engagement and business value, guiding strategic investments and development priorities.
- Utilizing advanced data science, machine learning, and visualization techniques, the team delivers actionable insights that influence business outcomes.
- Members apply rigorous analytical methods and domain knowledge to solve complex problems, support model development, and communicate findings effectively to stakeholders, fostering data-driven decision-making throughout the organization.
- Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job.
- This policy applies to all employees and aims to create a safe and productive work environment.
Equal Opportunity
- 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.