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Director, Data Science & Analytics, Product, Walmart Ecommerce & WMT+
Director, Data Science & Analytics, Product, Walmart Ecommerce & WMT+-January 2024
Sunnyvale
Jan 20, 2025
ABOUT WALMART
At Walmart, we save people money so they can live better.
10,000+ employees
Consumer Goods & Services, Technology
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About Director, Data Science & Analytics, Product, Walmart Ecommerce & WMT+

  Position Summary...

  What you'll do...

  Director of Data Science & Analytics, Product

   Walmart Ecommerce & WMT+

  Product At Walmart

  As a part of Walmart's Product Organization, you'll be part of the team that creates the products, services and platforms that help millions of customers save money and live better and equip 1.3 million associates with the tools that empower them to do their jobs, effortlessly. Here, you'll apply best in class technology to make the complex, simple; the unimaginable, doable; the futuristic, realistic.

  With our user-centric approach to problem solving, customers and associates are at the heart of everything we build. We fall in love with the problem that needs solving and collaborate with our design, technology, and business partners to create inclusive, award-winning solutions. As a part of Walmart's Product team, you'll be the voice of our customer. Walmart was founded with the belief that the customer is #1. It's not just a belief, but our way of doing business. With the customer at the forefront, we can help save both time and money for our customers no matter how they shop with us and reach them in new, exciting ways.

  Director of Data Science & Analytics, Product

  Reporting in the Chief Product Officer's organization, the Director of Data Science & Analytics will play a key role in shaping product and technology roadmaps, driving analytics support for all Data Science initiatives and driving an experimentation culture and capabilities. This individual is expected to possess a deep understanding of analytics, experimentation, metrics definition and strategic insights.

  Successful candidates will love delving deep into data, have strong analytical skills, outstanding communication tactics, and be comfortable with a high level of executive attention. You will be at ease engaging with technical teams and flourish in a collaborative, creative, analytical, and quick-paced atmosphere. You should possess excellent communication skills and the ability to

  translate complex analytical findings into actionable business recommendations in a clear and concise manner. This is a high-profile role that will interact with people at all levels of the organization, specifically our c-level executives.

  Responsibilities

  Lead and develop a high performing analytics team and scale the team efficiently as per current plans to scale.Identify and recruit top tier talent, provide mentorship and training, and define the team's goals, objectives in alignment with the company's overall strategic direction.Define key performance indicators (KPIs) to measure the effectiveness of product features, marketing campaigns, and customer engagement and identify opportunities for product improvements and efficiency gains through data analysis, experimentation, automation, and technology enhancements.Utilize advanced analytics techniques to extract actionable insights from large datasets, influencing product development, marketing strategies, and design optimizations.

  Requirements

  15+ years in leading product and customer analytics, experimentation, and insights within global top tier technology companies, preferably e- commerce6+ years in managerial role, in building and leading data science & analytics teamsProven track record of delivering impactful insights, driving business outcomes and continuous product optimization through data-driven strategies and experimentation.Strong proficiency in data analysis, statistical modeling, and data visualization tools (e.g., Python, R/SAS, SQL, Tableau, Power BI).Experience working cross-functionally with teams such as Product & Engineering, Marketing, Operations and Finance.Prior C-level/Executive Board exposure. Experience pitching to and holding in depth discussions with C-level stakeholders.Bachelor's degree in a quantitative field such as Mathematics, Statistics, Engineering, Economics, or related disciplines. Master's or PhD preferred.

  At Walmart, we offer competitive pay as well as performance-based incentive 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 at https://bit.ly/3iOOb1J .

  The annual salary range for this position is $169,000.00-$338,000.00

  Additional compensation includes annual or quarterly performance incentives.

  Additional compensation for certain positions may also include:

  - Regional Pay Zone (RPZ) (based on location)

  - Stock equity incentives

   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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch)

   Primary Location...

  840 W CALIFORNIA AVE, SUNNYVALE, CA 94086-4828, United States of America

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