Senior Manager, Data Science

Walmart•San Bruno, CA

9d•$110,000 - $286,000•Onsite

About The Position

This role focuses on leveraging data science, machine learning, and advanced analytical modeling to solve complex business problems. The Senior Manager will be responsible for developing and deploying models, communicating insights through data visualization, and guiding junior associates. The position requires a deep understanding of business context, analytical modeling techniques, model deployment, code development, and data strategy. The role emphasizes collaboration, mentorship, and driving business value through data-driven solutions.

Requirements

Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.
Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
5 years' experience in an analytics or related field.
Knowledge of model fit testing, tuning, and validation techniques (e.g., Chi-square, ROC curve, root mean square error).
Knowledge of visualization guidelines and best practices for complex data types.
Knowledge of industry and environmental factors, common business vernacular, and business practices across two or more domains.
In-depth knowledge of related practices and directly relevant business metrics and business areas.
Knowledge of feature relevance and selection, exploratory data analysis methods and techniques, advanced statistical methods, and best-practice advanced modeling techniques (e.g., graphical models, Bayesian inference, basic NLP, Vision, neural networks, SVM, Random Forest).
Knowledge of multivariate calculus, statistical models behind standard ML models, advanced Excel techniques, and programming languages like R/Python.
Knowledge of basic classical optimization techniques (e.g., Newton-Rapson methods, Gradient descent) and numerical methods of optimization (e.g., Linear Programming, Integer Programming, Quadratic Programming).
Knowledge of the impact of variables and features on model performance and understanding of servers and model formats to store models.
Knowledge of coding languages like SQL, Java, C++, Python, and others.
Knowledge of testing methods such as static, dynamic, software composition analysis, and manual penetration testing.
Knowledge of analytics/big data analytics automation techniques and methods.
Knowledge of business precedence and use cases, business requirements, and insights.
Knowledge of functional business domain and scenarios, categories of data and where it is held, business data requirements, database technologies, and distributed datastores (e.g., SQL, NoSQL).
Knowledge of data quality, existing business systems and processes, including key drivers and measures of success.
Knowledge of understanding of business value and relevance of data and data-enabled insights/decisions.
Knowledge of appropriate application and understanding of the data ecosystem, including Data Management, Data Quality Standards, and Data Governance, Accessibility, Storage, and Scalability.
Understanding of the methods and applications that unlock the monetary value of data assets.

Nice To Haves

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.
Supervisory experience.
Using open source frameworks (for example, scikit-learn, tensorflow, torch).
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.
Experience in implementing Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Responsibilities

Assess and validate models using techniques like Chi-square, ROC curve, and root mean square error to evaluate accuracy, fit, validity, and robustness.
Identify the impact of variables and features on model performance and apply best practices for model testing and tuning.
Generate appropriate graphical representations of data and model outcomes using multiple data visualization tools.
Understand customer requirements to design appropriate data representation for multiple datasets.
Work with User Experience designers and User Interface engineers to build front-end applications.
Present to and influence the team and business audience using appropriate data visualization frameworks.
Customize communication style based on stakeholder needs and leverage rational arguments.
Guide and mentor junior associates on data visualization techniques.
Provide recommendations to business stakeholders to solve complex business issues.
Develop business cases for projects with projected return on investment or cost savings.
Translate business requirements into projects, activities, and tasks aligned with overall business strategy.
Serve as an interpreter to connect business needs with tangible solutions and results.
Identify and recommend relevant business insights pertaining to their area of work.
Select appropriate modeling techniques for complex problems with large-scale, multiple structured, and unstructured data sets.
Select and develop variables and features iteratively based on model responses.
Conduct exploratory data analysis activities, including basic statistical analysis, hypothesis testing, and statistical inferences.
Design experiments and create test and learn frameworks.
Interpret data to identify trends and create continuous online model learning along with iterative model enhancements.
Develop newer techniques, such as advanced machine learning algorithms and AutoML, by leveraging the latest trends in machine learning and artificial intelligence.
Guide the team on feature engineering, experimentation, and advanced modeling techniques.
Deploy models to production and continuously log and track model behavior against defined metrics.
Identify model parameters that may need modifications depending on the scale of deployment.
Write code to develop required solutions and application features by determining the appropriate programming language.
Create test cases to review and validate proposed solution designs.
Create proofs of concept and test code using appropriate testing approaches.
Deploy software to production servers and contribute code documentation.
Maintain playbooks and provide timely progress updates.
Analyze business problems within their discipline and question assumptions to identify root causes.
Identify and recommend approaches to resolve business problems and create effective technology-focused solutions.
Set relevant deliverables based on established success criteria and define key metrics to measure progress and effectiveness.
Quantify business impact.
Understand the priority order of requirements and service level agreements.
Define and identify the most suitable sources for required data that is fit for purpose.
Perform initial data quality checks on extracted data.
Review the deliverables of junior associates and provide guidance on data source and quality.
Understand, articulate, interpret, and apply the principles of the defined data strategy to business problems.
Drive the execution of multiple business plans and projects by identifying needs, developing plans, removing barriers, providing resources, measuring progress, and adjusting performance.
Provide supervision and development opportunities for associates through training, mentoring, and performance management.
Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.
Ensure business needs are met by evaluating the effectiveness of current plans and initiatives.
Consult with business partners, managers, and coworkers to improve efficiency and cost-effectiveness.
Create a discipline and focus around developing talent through feedback, coaching, mentoring, and developmental opportunities.
Promote an environment allowing everyone to bring their best selves to work.
Empower associates and partners to act in the best interest of the customer/member and company.
Regularly recognize others' contributions and accomplishments.
Build strong and trusting relationships with team members and business partners.
Work collaboratively and cross-functionally to achieve objectives.
Communicate and listen attentively with energy and positivity to motivate, influence, and inspire commitment and action.
Maintain and promote the highest standards of integrity, ethics, and compliance.
Model company values and foster a culture of belonging.
Support the company's goal of becoming a regenerative company by making a positive impact.
Follow the law, code of conduct, and company policies.
Set expectations for others regarding ethical conduct and compliance.
Promote an environment where associates feel comfortable sharing concerns.
Listen to concerns raised by associates, take action, and encourage others to do the same.
Hold self and others accountable for achieving results consistent with values.
Act as an altruistic servant leader, being humble, self-aware, honest, and transparent.
Deliver expected business results while putting the customer/member first.
Consistently apply an omni-merchant mindset and an Every Day Low Cost mindset.
Adopt a holistic perspective considering data analytics, customer/member insights, and different parts of the business when making plans and shaping strategy.
Consistently raise the bar and seek to improve.
Demonstrate curiosity and a growth mindset.
Seek feedback, ask thoughtful questions, and foster an environment that supports learning, innovation, and learning from mistakes.
Exhibit resilience in the face of setbacks.
Seek and implement continuous improvements.
Encourage the team to leverage new digital tools and ways of working.

Benefits

Medical coverage
Vision coverage
Dental coverage
401(k)
Stock purchase
Company-paid life insurance
PTO (including sick leave)
Parental leave
Family care leave
Bereavement
Jury duty
Voting leave
Short-term disability
Long-term disability
Company discounts
Military Leave Pay
Adoption and surrogacy expense reimbursement
Performance-based bonus awards
Paid time off
PTO/PPTO that can be used for vacation, sick leave, holidays, or other purposes
Walmart-paid education benefit program (Live Better U) for full-time and part-time associates
Tuition, books, and fees completely paid for by Walmart for eligible programs