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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 MarketingNamed 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 companiesBenefits & 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 EmployerWalmart, 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 AreJoin 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.comAt 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 .Hoboken, New Jersey US-10279:The annual salary range for this position is $132,000.00-$264,000.00San Bruno, California US-08848:The annual salary range for this position is $143,000.00-$286,000.00Bentonville, Arkansas US-09401:The annual salary range for this position is $110,000.00-$220,000.00Additional compensation includes annual or quarterly performance bonuses.Additional compensation for certain positions may also include:- StockMinimum 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 fieldPreferred 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
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What You Should Know About Principal, Data Scientist, Walmart

As a Principal, Data Scientist at Walmart based in Fremont, CA, you're stepping into a role that shapes the future of marketing strategy. You'll lead the analytics efforts within the US Marketing team, diving deep into insights that help guide marketing decisions for both immediate impact and long-term success. Your work will go beyond just numbers; you'll play a crucial part in how various marketing channels work together to enhance customer engagement and boost sales. Collaborating with a diverse array of teams—Performance Marketing, Brand Marketing, Data Engineering, and more—you'll ensure that data-driven decision-making is woven into the fabric of our marketing initiatives. This position is highly visible and impactful, reporting directly to the Director of Data Science, and it offers the chance to influence Walmart's marketing direction on a grand scale. We’re all about redefining shopping experiences, thanks to innovative marketing fueled by customer insights. If you’re passionate about tackling complex analytical challenges and committed to making marketing smarter and more effective, your journey with us could be a game-changer. It’s vital to know that this is an in-office role, so you’ll need to be within commuting distance of our hubs in Bentonville, AR, Hoboken, NJ, or San Bruno, CA. Join us and be part of a dynamic organization that celebrates creativity, innovation, and collaboration!

Frequently Asked Questions (FAQs) for Principal, Data Scientist Role at Walmart
What are the responsibilities of a Principal, Data Scientist at Walmart?

As a Principal, Data Scientist at Walmart, your responsibilities include spearheading analytics within the US Marketing team, analyzing customer engagement through various marketing channels, developing marketing measurement models, and collaborating with multiple teams to implement data-driven practices. Your role is pivotal in optimizing Walmart's marketing investment and forecasting its impact on sales.

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What qualifications are needed for the Principal, Data Scientist position at Walmart?

To qualify for the Principal, Data Scientist role at Walmart, candidates should have either a bachelor's degree with 5 years of relevant experience, a master's degree with 3 years of experience, or 7 years of experience in an analytics-related field. Experience in digital or retail analytics and leadership skills are also essential for this position.

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How does the Principal, Data Scientist collaborate with other teams at Walmart?

The Principal, Data Scientist at Walmart collaborates closely with teams such as Performance Marketing, Brand Marketing, Finance, and Data Engineering. This collaboration ensures alignment of marketing strategies with analytical insights, ultimately enhancing customer experiences and optimizing marketing effectiveness across various channels.

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What advanced analytics skills are preferred for Walmart's Principal, Data Scientist role?

Walmart prefers candidates for the Principal, Data Scientist position to have advanced skills in data transformation within cloud architectures like Google Cloud Platform, proficiency in programming languages such as Python and R, and experience using visualization tools like Tableau. Knowledge of machine learning frameworks and marketing data analytics is also beneficial.

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What is the work environment like for a Principal, Data Scientist at Walmart?

The work environment for a Principal, Data Scientist at Walmart is dynamic and collaborative, with a strong emphasis on teamwork and innovation. You will be required to work in office, allowing you to engage directly with multiple departments to promote an analytical mindset and foster relationships that can lead to significant advancements in Walmart's marketing strategies.

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Common Interview Questions for Principal, Data Scientist
Can you explain your experience with marketing measurement models?

When asked about marketing measurement models, illustrate your hands-on experience by describing specific models you've developed. Explain how they influenced marketing strategies and decisions at your previous companies, including the results achieved. Be sure to mention any tools or software you used during this process.

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How do you approach collaboration with cross-functional teams?

In your response, emphasize the importance of communication and mutual respect. Discuss your strategies for understanding different team objectives and finding common ground. Provide examples of successful collaboration that led to actionable insights or improvements in marketing campaigns.

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Describe a complex data science problem you've solved in your career.

When answering this question, select a relevant example that highlights your analytical skills. Detail the challenge, the methods you employed to analyze the data, and the outcomes. Make sure to include any collaborative aspects of the project and how it benefited the company.

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What tools and technologies are you proficient in for data analysis?

Be specific about the tools you have used such as Python, R, Tableau, or Hive/Hadoop. Discuss how you leveraged these tools in previous roles to solve data science problems and drive marketing insights. Express your eagerness to adapt to new technologies, as done in previous experiences.

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How do you ensure your findings are communicated effectively to senior leaders?

Communicating effectively with senior leaders requires focusing on clarity and relevance. Discuss strategies you use, such as tailoring your presentations to include key performance indicators and visual aids, and making complex information easily digestible. Provide examples of successful presentations.

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What is your experience in leading teams within analytics?

Highlight your leadership experience by mentioning specific teams you've managed. Discuss the methods you've used to cultivate an analytical culture, set goals, and drive team performance. Any metrics you can share to demonstrate your team's success would enhance your answer.

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How do you prioritize tasks in a fast-paced work environment?

Describe your approach to prioritization by emphasizing the importance of understanding project urgency and business impact. Discuss tools or techniques you utilize and give examples of how you've successfully managed multiple projects in the past while delivering quality results.

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What role does customer focus play in your data science work?

Customer focus is critical in data science. Speak about how customer insights guide your analytics practices and your approaches to measuring customer engagement and value. Share any successful projects where implementing customer feedback led to significant results.

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Could you explain a time when your analysis led to a major decision?

Select a specific instance where your analytical work directly impacted a major business decision. Clearly detail the analysis you conducted, the findings, the stakeholder buy-in process, and the outcome to demonstrate the significance of data-driven decision-making.

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What strategies do you use for handling difficult stakeholders?

Discuss your conflict resolution skills and the importance of maintaining professionalism and empathy. Convey your strategies for understanding their concerns and building trust, leading to more productive relationships. Provide examples where you successfully navigated challenging stakeholder interactions.

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"To save people money so they can live better.”

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DATE POSTED
December 1, 2024

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