(USA) Senior Manager, Data Science (eCommerce)

Walmart; Bentonville (AR); On-site; USD 110,000 - 220,000; Full time

Benefits offered by this job

Health benefits

401(k)

Stock purchase plan

Paid time off

Job summary

Walmart is seeking a Senior Manager of Data Science in Bentonville to lead advanced analytics initiatives, build scalable ML models, and align insights with business goals. You will oversee data quality, visualization, and cross-team collaboration to optimize operations within a dynamic retail environment.

The role requires Python/SQL proficiency, leadership of analytics projects, and a strong background in optimization and operations research.

Qualifications

• Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
• Master's degree preferred; 5+ years analytics experience or 3+ years with a Master's.

Responsibilities

• Lead the development and deployment of advanced data science models to support business objectives and improve decision-making.
• Collaborate with cross-functional teams to translate business requirements into scalable analytical solutions.
• Oversee data quality assurance processes to ensure accuracy and reliability of insights.
• Utilize machine learning techniques and programming languages such as Python and SQL to analyze complex datasets.
• Drive the creation of clear and actionable data visualizations to communicate findings effectively to stakeholders.
• Mentor and guide data science team members to enhance technical skills and project delivery.

Skills

Python

SQL

Data visualization

Data quality

Machine learning

Optimization

Operations research

Leadership

Education

Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field

Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field

Tools

Python

SQL

Job description

Position Summary

Position Summary...

Role Summary

As the Senior Manager, Data Science, you will lead advanced analytics initiatives to drive strategic business decisions. This role requires expertise in data science, optimization, machine learning, and programming languages such as Python and SQL to develop scalable models and insights. You will oversee data quality and visualization efforts while aligning analytics solutions with business requirements and metrics. Collaborating across teams, you will ensure the effective application of data driven strategies to optimize operations and support organizational goals within a dynamic environment.

About the team

This team leads the design and fulfillment strategy for Walmart’s eCommerce network, focusing on inbound and outbound operations. Their analytical models guide significant capital investments and support Walmart’s eCommerce growth. Key responsibilities include optimizing the location and capacity of inbound nodes, managing capacity by commodity type at fulfillment centers, and scheduling facility builds within budget limits. The team applies advanced data science, optimization, machine learning, and operations research techniques to solve complex business challenges, ensuring efficient network performance and alignment with strategic objectives.

Key Responsibilities

• Lead the development and implementation of advanced data science models to support business objectives and improve decision-making.
• Collaborate with cross-functional teams to translate business requirements into scalable analytical solutions.
• Oversee data quality assurance processes to ensure accuracy and reliability of insights.
• Utilize machine learning techniques and programming languages such as Python and SQL to analyze complex datasets.
• Drive the creation of clear and actionable data visualizations to communicate findings effectively to stakeholders.
• Mentor and guide data science team members to enhance technical skills and project delivery.

What you'll bring

• Extensive experience in optimization and machine learning methodologies to drive advanced analytics initiatives.
• Proficiency in Python and SQL programming languages for data manipulation and model development.
• Strong skills in data visualization to effectively communicate insights to stakeholders.
• Expertise in ensuring data quality and integrity across complex datasets.
• Ability to translate business requirements into actionable data science solutions.
• Knowledge of operations research techniques to optimize business processes and metrics.
• Proven leadership in managing data science projects and cross-functional teams.

Benefits

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam’s Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

For Information About Benefits And Eligibility, See One.Walmart.

Salary

The annual salary range for this position is $110,000.00 - $220,000.00. Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :

• Stock

Minimum Qualifications

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field.

Preferred Qualifications

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no 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, Supervisory experience, 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. 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.

Primary Location

805 Respect, Bentonville, AR 72716, United States of America

Other Information

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.