(USA) Senior Manager, Data Science-1

About the Role

Key Responsibilities

• Model assessment and validation using techniques such as Chi square, ROC curve, root mean square error, and impact analysis of variables on model performance.
• Generate graphical representations of data and model outcomes, design appropriate data visualizations, and communicate insights effectively to stakeholders.
• Understand business context, develop recommendations, create business cases, and translate requirements into actionable projects.
• Conduct exploratory data analysis, select features, and develop advanced statistical and machine learning models including neural networks, SVM, Random Forest, and Bayesian inference.
• Deploy models to production, monitor their behavior, and adjust parameters based on scale and performance metrics.
• Write and test code using languages such as SQL, Python, Java, C, and develop solutions aligned with business needs.
• Analyze business problems, identify data sources, and develop data strategies to unlock data value and support decision-making.
• Lead multiple projects, remove barriers, allocate resources, and measure progress to ensure successful execution.
• Supervise and develop team members through mentoring, training, and performance evaluations.
• Promote company policies, ethics, and a culture of respect, integrity, and inclusivity.
• Drive continuous improvement, innovation, and digital transformation initiatives.
• Support Walmart’s mission by delivering results that prioritize customer and member needs while maintaining high standards of excellence.

Requirements

• Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 5 years' experience in an analytics-related role.
• Or Master's degree in the same fields and 3 years' experience.
• Or 7 years' experience in analytics or a related field.
• Knowledge of model fit testing, tuning, validation techniques, and impact analysis.
• Experience with data visualization tools such as Python, R libraries (GGplot, Matplotlib, Ploty), Tableau, PowerBI.
• Proficiency in statistical methods, advanced modeling techniques, and programming languages including R, Python, SQL, Java, C.
• Understanding of machine learning algorithms, feature engineering, and model deployment.
• Familiarity with big data analytics, automation techniques, and business domain understanding.
• Experience with creating inclusive digital experiences and accessibility standards (preferred).
• Supervisory experience (preferred).

Nice to Have

• PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
• Experience with open source frameworks such as scikit-learn, TensorFlow, Torch.
• Knowledge of Web Content Accessibility Guidelines (WCAG) 2.2 AA standards and assistive technologies.
• Experience in creating accessible digital products and services.

Qualifications

• Option 1: Bachelor's degree in relevant fields plus 5 years' experience.
• Option 2: Master's degree in relevant fields plus 3 years' experience.
• Option 3: 7 years' experience in analytics or related field.

Benefits & Perks

• Competitive pay with performance-based bonuses.
• Health benefits including medical, vision, and dental coverage.
• Financial benefits such as 401(k), stock purchase, and company-paid life insurance.
• Paid time off including PTO, sick leave, parental leave, family care leave, bereavement, jury duty, and voting.
• Other benefits like short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement.
• Live Better U education benefit program covering tuition, books, and fees.
• Annual salary range: $110,000.00 - $220,000.00.