Walmart

Principal, Data Scientist

Remote San Bruno, CA
USD 110k - 286k
Python Scala Machine Learning TensorFlow Hadoop Spark R Torch GCP
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Description

Position Summary...

What you'll do...

As a Principal, Data Scientist, you will spearhead analytics within Walmart's US Marketing team, providing insights and optimization opportunities to marketers, managers, and senior leaders. You'll develop a comprehensive understanding of how marketing channels and business strategies drive customer engagement and sales. Collaborating with Performance Marketing, Brand Marketing, Data Engineering, Category Marketing, Merchandising, and Finance, you will integrate data-driven decision-making into our marketing strategy. This highly visible role at Walmart offers the opportunity to significantly impact the entire organization. You will report to the Director of Data Science.

About Walmart Marketing 

Named Ad Age’s Marketer of the Year in 2022, you’ll join an internationally recognized team of thinkers, creators, and problem solvers passionate about helping people save money and live better. 

Walmart Marketing is a dynamic, multidimensional organization dedicated to redefining how the world shops through impactful creative and fast-paced innovation – all grounded in customer insights and brand strategy. We live out our company values each day while striving to exceed customer expectations and drive growth for the company. 

We orchestrate marketing campaigns and experiences that reach millions of daily shoppers. Our work spans the digital and physical spaces and combines the work of numerous internal teams and external advertising and media agencies. Our teams work together to show our customers how they can save money and live better. If you are motivated by complex challenges and want to build the future of commerce and consumer services, a Marketing role at Walmart could be what you’ve been looking for.   

This is not a remote role, you must live within driving distance to one of our hubs: Bentonville, AR, Hoboken, NJ or San Bruno, CA and spend the majority of your work week in the office.

You will make an impact by:

  • Optimize Walmart's marketing investment by designing marketing measurement models. - Use marketing insights to understand customer value and engagement.
  • Establish respectful cross-team relationships and align stakeholders' views with analytical insights.
  • Identify and leverage opportunities for advanced analytics.
  • Collaborate with Data Enablement and Tech teams on analytics data pipeline requirements. - Forecast marketing's impact on sales and digital traffic with Marketing, Finance, Tech, and Planning teams.
  • Promote an analytical mindset among Marketing partners through tool development and training.

You’ll sweep us off our feet if…

  • Experience in solving complex data science problems at scale.
  • Proven customer focus.
  • Multi-sector business experience.
  • Proficiency in data gathering, structuring, and distribution.
  • Experience in data transformation/automation within cloud architectures like Google Cloud Platform.
  • Ability to communicate complex quantitative information to senior leaders.
  • Collaborative nature and comfort in unstructured environments.
  • Experience in analyzing customer-product interactions.

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
  • 3+ years of experience in Retail Analytics, Digital Analytics, or eCommerce Analytics
  • 2+ years of experience leading teams and influencing Product, Finance, Business Operations and Engineering.
  • Strong organizational skills, ownership, accountability, project leadership, effective communication, and self-initiative.
  • Experienced in development, deployment, and leadership of advanced marketing solutions and predictive models
  • Proficient in supervised and unsupervised models -
  • Skilled in cloud-based big data technologies like Hive/Hadoop
  • Proficient in visualization tools like Tableau
  • Familiar with various marketing data, including media and digital audience data - Knowledgeable in causal inference measurement methodologies
  • Proven leadership and collaboration with senior marketing leaders - Understanding of digital marketing channels and ad technology optimization
  • Advanced proficiency in Python, Spark, Scala, or R.

Preferred Qualifications:

  • PhD in Economics, Statistics, Computer Science, Operations Research, or related field.
  • 9 years' experience in data science, machine learning, optimization models, or related field.
  • 7 years’ experience using open-source learning frameworks (for example, Scikit Learn, TensorFlow, Torch).
  • 2+ years leadership / supervisory experience.
  • Prior experience with strategy consulting companies

Benefits & Perks: 

Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. 

Equal Opportunity Employer  

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, ideas and opinions – while being inclusive of all people.  

Who We Are 

Join Walmart and your work could help over 275 million global customers live better every week. Yes, we are the Fortune #1 company. But you’ll quickly find we’re a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the world’s most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you'll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement.  From day one, you’ll be empowered and equipped to do the best work of your life. careers.walmart.com 

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.

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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.

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For information about PTO, see https://one.walmart.com/notices.

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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.

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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.

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For information about benefits and eligibility, see One.Walmart.

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Hoboken, New Jersey US-10279:The annual salary range for this position is $132,000.00-$264,000.00

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San Bruno, California US-08848:The annual salary range for this position is $143,000.00-$286,000.00

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Bentonville, Arkansas US-09401:The annual salary range for this position is $110,000.00-$220,000.00

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Additional compensation includes annual or quarterly performance bonuses.

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Additional compensation for certain positions may also include:

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- Stock

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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 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, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, 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...

850 Cherry Avenue, San Bruno, CA 94066-3031, United States of America
Walmart
Walmart
E-Commerce Grocery Retail Retail Technology Shopping

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