Senior Manager, Data Science at Walmart

Mississauga, Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

RetailIndustries

Requirements

8+ years of experience working in analytical or data science function and directly influencing key business decisions and technology strategies
Demonstrated experience of embedding Data Science or Analytical solutions into operational processes
Background in software engineering (preferred)
Bachelor’s/Master’s in engineering, Computer Science, Applied Mathematics, Operations Research or related field, with focus on Business Management
2-4 years of direct people leadership experience
Excellent analytical and data interpretation skills with natural curiosity and strong attention to detail
Strong problem-solver, with ability to handle ambiguous and open-ended problems
Expert at data and model management
Extensive experience in building Logic/ML-based Predictive Models and Optimization Models
Strong in scalable data manipulation technologies such as Spark, Pandas, Polars
Strong Oral and Written communicator, able to convey complex ideas in simple terms
Ability to prepare presentation content for diverse audience groups
Strong ability to work cross-functionally, effectively gathering or giving feedback
Technical Experience working with customer data platforms, event-level data, ML & feature engineering pipelines
Highly proficient in writing/reviewing code written in SQL, Python, R, and leveraging machine learning frameworks & toolkits such as PyTorch, TensorFlow, Spark, or scikit-learn
Working knowledge of Web Deployment frameworks such as Streamlit/Rshiny
Experience using GCP
Experience deploying ML models

Responsibilities

Define strategy, requirements, and deliver data products to drive data science initiatives for growth and efficiency
Collaborate across various business functions to solve critical needs
Evangelize Machine Learning/AI and introduce innovative data technologies
Lead the strategy and execution of Data Science, Data Products, and Research and Optimization functions
Manage resource prioritization to maximize returns
Integrate data science capabilities with business needs to address tangible problems with measurable impact
Collaborate with senior stakeholders in Operations, Merchandising, Finance, Technology, and Marketing to identify opportunities where Machine Learning, AI, or other data products can resolve issues, improve efficiency, or reduce costs
Lead critical unit, sales, and channel forecasting, guiding budget planning both short-term and long-term
Build and execute a long-term roadmap to elevate data science capabilities by researching, piloting, and introducing innovative data technologies and products
Partner with Data Science leaders across the organization to share best practices, methods, and technologies
Lead a cross-functional team of experimentation, research, UX specialists, and other partners to envision, build, test, and deliver impactful consumer experiences

Skills

Data Science

Machine Learning

Forecasting

Software Engineering

Operations Research

Applied Mathematics

Walmart

Global retail chain offering affordable products

About Walmart

Walmart operates a chain of hypermarkets, discount department stores, and grocery stores, providing a wide variety of products at low prices to everyday consumers, families, and communities. The company combines physical retail locations with an e-commerce platform, allowing customers to shop for groceries, apparel, electronics, and household items both in-store and online. Walmart's efficient supply chain management and large-scale purchasing enable it to maintain affordability, setting it apart from competitors. The company also offers financial services and health and wellness services, including pharmacies and vision centers. Walmart's goal is to save people money and support communities, as demonstrated by its efforts during the COVID-19 pandemic and its commitment to social responsibility, including programs for veterans and military families.

Bentonville, ArkansasHeadquarters

1962Year Founded

$5,515MTotal Funding

IPOCompany Stage

Financial Services, Consumer GoodsIndustries

10,001+Employees

Senior Manager, Data Science at Walmart

Requirements

Responsibilities

Skills

Walmart

About Walmart

Benefits

PTO: Paid vacation, sick time, personal time and holiday time

10% discount on regularly priced general merchandise and fresh fruits and vegetables

6% 401(k) match to all employees, including hourly workers, after one year

Roth IRA available

Associate Stock Purchase Plan

maximum and eligible preventive care covered at 100%

Health reimbursement plans

Risks

Rising U.S. labor costs could pressure profit margins.

Amazon's grocery delivery expansion threatens Walmart's market share.

Fintech investments expose Walmart to financial regulatory risks.

Differentiation

Walmart's omnichannel strategy integrates physical and online retail seamlessly.

The company offers a wide range of products at consistently low prices.

Walmart's commitment to community support enhances its brand reputation.

Upsides

Walmart's investment in fintech expands its financial services offerings.

Robotics integration in distribution centers boosts operational efficiency.

Culturally themed product lines attract diverse customer segments.

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