Position Summary...
What you'll do...
Role summary:
As the Director of Data Science, you will lead the development and deployment of advanced analytical models and data strategies that drive business value across multiple domains. This role requires expertise in machine learning, data visualization, and coding to translate complex business challenges into actionable insights. You will oversee model validation, data quality, and team mentorship while collaborating cross-functionally to align data initiatives with organizational goals. Your leadership will ensure scalable, innovative solutions that enhance decision-making and operational efficiency within a dynamic, technology-driven environment.
About the team:
The team is committed to enhancing customer convenience by leveraging advanced data analysis and visualization techniques. They identify business challenges, source quality data, and deliver actionable insights that drive effective solutions. Collaborating across functions, the team applies strategic data management and exploratory analysis to support business objectives. Members uphold high standards of integrity, mentor peers, and continuously pursue innovation and learning. Their efforts enable data-driven decisions that improve customer experience and operational efficiency within the Walmart Group of Companies.
What you'll do:
Lead the development and deployment of advanced data science solutions aligned with business strategies.
Oversee model design, testing, validation, and continuous improvement to ensure accuracy and scalability.
Translate complex business requirements into actionable data strategies and analytical frameworks.
Guide teams in feature engineering, machine learning algorithm selection, and exploratory data analysis.
Collaborate cross-functionally to integrate data insights into decision-making and operational processes.
Ensure data quality, source identification, and appropriate visualization to support stakeholder understanding.
Mentor and develop talent, fostering technical expertise and adherence to best practices.
What you'll bring:
Extensive experience in data science, machine learning algorithms, and advanced analytical modeling techniques.
Proficiency in programming languages including Python, SQL, and Java for code development, testing, and deployment.
Strong understanding of data strategy, data quality, and data governance principles to drive business value.
Proven ability to translate complex business requirements into actionable data-driven solutions aligned with organizational goals.
Demonstrated leadership in mentoring teams, managing projects, and fostering continuous learning and innovation.
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 (https://one.walmart.com/) .
The annual salary range for this position is $169,000.00 - $338,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
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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 6 years' experience in an analytics related field.
Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
Option 3: 8 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, Using open source frameworks (for example, scikit learn, tensorflow, torch)
Primary Location...
809 11th Ave, Sunnyvale, CA 94089-4731, United States of America
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.
Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.
