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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

Walmart is on the lookout for a talented Principal, Data Scientist to join our dynamic marketing team in Fremont, CA. In this pivotal role, you'll be at the forefront of analytics, transforming data into invaluable insights that drive marketing strategies and optimize customer engagement. Collaborating with various teams including Performance Marketing, Brand Marketing, and Finance, you’ll help shape how we connect with our customers and enhance their shopping experiences. It’s not just about numbers; it’s about understanding how marketing decisions drive sales and engagement at scale. You’ll be leading the way in designing advanced marketing measurement models and utilizing your data-driven mindset to forecast marketing impacts, all while building relationships across the organization. If you're passionate about solving complex data science challenges and want to be part of a team that is recognized for its innovative approach to marketing, then the Principal, Data Scientist position at Walmart might be the perfect fit for you. We value creativity and strategic thinking and encourage you to bring your unique perspective to the table. Get ready to make a significant impact in a company that is committed to saving millions of people money and helping them live better. This role requires in-office collaboration, so you'll need to be within driving distance of our hubs in Bentonville, AR, Hoboken, NJ, or San Bruno, CA. Come join us in redefining the future of retail!

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, developing comprehensive marketing measurement models, and collaborating with various internal teams to enhance data-driven decision-making. You'll also work on forecasting marketing's impact on sales and drive the optimization of marketing strategies through advanced analytics.

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What qualifications do I need to become a Principal, Data Scientist at Walmart?

To qualify for the Principal, Data Scientist position at Walmart, candidates typically require a Bachelor’s degree in a relevant field with significant experience in analytics, or a Master’s degree with less experience. You should also have extensive experience in Retail Analytics and strong skills in data transformation, along with proficiency in tools like Python, Spark, and cloud technologies.

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What skills are vital for a Principal, Data Scientist at Walmart?

Essential skills for the Principal, Data Scientist role at Walmart include strong analytical problem-solving abilities, proficiency in data visualization tools like Tableau, effective communication to convey complex information, and a collaborative nature for working across teams. Leadership experience and familiarity with marketing data and causal inference methodologies are also crucial.

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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 fast-paced and collaborative, focusing on innovation in marketing strategies. You will be working in-office with a diverse team that values creativity and analytical thinking, all while directly influencing marketing initiatives that impact millions of customers.

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What are the benefits of working as a Principal, Data Scientist at Walmart?

Walmart offers a competitive salary and performance-based bonuses for the Principal, Data Scientist role. In addition, employees can enjoy comprehensive health benefits, a 401(k) match, stock purchase plans, and paid time off, among other perks that promote a balanced work-life experience.

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Common Interview Questions for Principal, Data Scientist
Can you describe a complex data problem you've solved in the past?

When answering this question, highlight a specific project where you applied data science techniques. Explain the problem, your approach, the tools you used, and the outcome. Emphasize your analytical skills and how your solution benefited stakeholders, showcasing your ability to communicate complex information effectively.

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How do you ensure accuracy in your data analyses?

Discuss your methods for validating and testing data, such as cross-verifying results with different models or historical data. Emphasize the importance of diligence in data preparation and the steps you take to maintain data quality and integrity.

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What experience do you have with predictive modeling?

Share specific examples of predictive models you have developed, detailing the objectives, methodologies used, and impacts of your work. Discuss your familiarity with various techniques and how you leverage them to inform marketing strategies.

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How do you communicate technical findings to non-technical stakeholders?

Highlight your ability to tailor your communication style based on your audience. Provide examples of using visual aids and storytelling techniques to simplify complex data insights for non-technical team members, ensuring that your analyses drive actionable decisions.

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What is your experience with cloud technologies in data science?

Discuss any hands-on experience you have with cloud platforms, particularly those relevant to data storage and processing, like Google Cloud. Describe specific projects where cloud technologies facilitated your analyses and enhanced efficiency in data management.

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

Explain your methods for task prioritization, such as using frameworks like the Eisenhower Box or Agile methodologies. Discuss how you adapt your workflow to meet deadlines while ensuring quality in your analyses and deliverables.

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Can you describe a time you had to work with a difficult team member?

Illustrate your conflict resolution skills by sharing a specific instance. Focus on how you handled the situation diplomatically, the communication strategies you employed, and the ultimately positive outcome that resulted from collaboration.

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What tools do you prefer for data visualization and why?

Share your favorite tools, like Tableau or Power BI, and articulate the reasons behind your preference, such as ease of use or the capability to showcase complex data in an understandable format. Providing examples of past projects will illustrate your practical experience with these tools.

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How do you stay updated with industry trends in data science?

Discuss the resources you utilize to keep your skills fresh, such as professional networks, journals, online courses, or conferences. This showcases your commitment to continuous learning and adaptation within the evolving data science field.

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What impact have you made in your past roles as a data scientist?

Focus on specific achievements and the measurable impacts you've had in your previous positions. Share data points, details on improved processes, or successful project outcomes to highlight your contributions within a business context.

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

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December 7, 2024

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