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(USA) Principal, Data Scientist - Sciences Solutions

Position Summary... What you'll do... Join our Retail Intelligence Team! The Principal, Sciences Solutions - Connected Intelligence is a unique blend of design of the intelligence strategy, leading model development, and activating new capabilities at the world's largest omnichannel retailer! This exciting opportunity will help drive vertical and horizontal activity scoping, innovation mapping, and intelligence algorithm development coordination that will deliver important activations within Walmart US, focused on transforming Supply Chain and In Store Operations. We work with multiple 4-in-the-box groups to promote AI-first roadmap prioritization designed to achieve key business outcomes. This role will require partnership with other teams within the Walmart organization (Data Governance, Data Science / ML, Analytics, Engineering, Operations) as well as the working teams across WMT US (Innovation and Automation, Supply Chain, Merchandising, Finance, Marketing, and Operations).You'll sweep us off our feet if...• You are passionate about driving ML/AI transformation for a Fortune 1 company!• You have an analytical mindset and a broad understanding of AI/ML techniques• You have excellent storytelling and visual design skills to collaborate and communicate at the appropriate level of detail depending on the audience• You have transformation in your DNA (creating a vision and defining a strategy, defining intelligence roadmaps, authoring science strategy whitepapers and presentations, conducting internal discovery, providing rapid exploratory analysis, as well as leading development activities and ensuring strategic alignment, collaborating with data scientists, and crave ownership of key business outcomes)• You can build meaningful relationships and leverage influence• You have delivered on Transformation projects in challenging and resistive environments• You have experience in two or more of the following areas: Data Science Development, Algorithmic Solution Design, Strategy Development, and B2B Software ConsultingYou'll make an impact by...• Reframing of business activations and decision engines into ML/AI processes designed to achieve the near and long term business impact objectives• Authoring Science Whitepapers, conducting Internal discovery and providing rapid Exploratory Analysis• Relentlessly focusing on creating agile prototypes implementing a unified consumer signal (i.e., optimization, causal DAGs, forecasting, addressable market demand), consolidation of cross-functional planning, and a business choices framework• Performing discovery, assessment, and ML/AI reengineering of existing decision engines to enable connected and harmonized intelligence to achieve targeted business outcomes• Partnering with Operations and Product team on research and proposals for roadmap integrations of new and viable AI technologies including evaluation of 3rd party software• Partnering with Analytics to develop insights and pilot measurement of concepts in support of agile and iterative improvement processes• Leading development activities and ensuring strategic alignmentThe above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.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 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 .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...702 Sw 8Th St, Bentonville, AR 72716, United States of America
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What You Should Know About (USA) Principal, Data Scientist - Sciences Solutions, Walmart

Join Walmart's Retail Intelligence Team as a Principal, Data Scientist - Sciences Solutions in Springdale, AR, where you will play a pivotal role in shaping our intelligence strategy! This fantastic opportunity is your chance to lead the way in model development and activate new capabilities at the world's largest omnichannel retailer. Imagine collaborating with diverse teams across the Walmart organization, including Data Governance, ML analytics, Engineering, and Operations, to promote an AI-first roadmap aimed at achieving vital business outcomes. If you thrive in a fast-paced environment, have a knack for visual storytelling and possess a strong analytical mindset, this role is a perfect fit! We are looking for someone who can turn complex activation ideas into streamlined ML/AI processes that drive real business impact. You'll engage in everything from authoring Science Whitepapers to creating agile prototypes for optimization and forecasting. This is an exciting time to be at Walmart as we integrate innovative AI technologies to revolutionize our Supply Chain and In-Store Operations. If transforming a Fortune 1 company excites you, let’s chat about how you can leave a significant mark on Walmart’s future success!

Frequently Asked Questions (FAQs) for (USA) Principal, Data Scientist - Sciences Solutions Role at Walmart
What are the main responsibilities of the Principal, Data Scientist - Sciences Solutions at Walmart?

As a Principal, Data Scientist - Sciences Solutions at Walmart, your main responsibilities include leading the design of intelligence strategies, overseeing model development, and executing innovative capabilities within our supply chain and in-store operations. This means collaborating with multiple teams to prioritize AI initiatives that deliver meaningful business results while driving process improvements through ML/AI technologies.

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What qualifications are required for the Principal, Data Scientist - Sciences Solutions position at Walmart?

To qualify for the Principal, Data Scientist - Sciences Solutions role at Walmart, candidates should possess a Bachelor's degree in a relevant field and a minimum of 5 years of experience in analytics. Alternatively, a Master's degree with 3 years of experience or 7 years of direct experience in analytics will also meet the requirements. Additionally, a strong background in data science, machine learning, and algorithmic solution design is preferred.

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

In this role, collaboration is key! As a Principal, Data Scientist - Sciences Solutions, you'll work with various teams including Operations, Engineering, Analytics, and Product Management. Your efforts will focus on integrating innovative AI technologies, aligning development strategies, and actively participating in research that supports continuous improvement and business objectives at Walmart.

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What impact can a Principal, Data Scientist - Sciences Solutions have on Walmart's business?

The impact of a Principal, Data Scientist - Sciences Solutions at Walmart is profound. By transforming business activations into streamlined ML/AI processes, you'll help the company achieve both near- and long-term objectives. This role is critical in leading the reengineering of existing decision engines, thereby enabling connected intelligence systems that improve decision-making across the organization.

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What kind of projects will the Principal, Data Scientist - Sciences Solutions be involved in?

Projects for the Principal, Data Scientist - Sciences Solutions role at Walmart will vary and include designing and implementing machine learning models, conducting exploratory data analysis, research on AI technologies, and authoring Science Whitepapers. These projects not only focus on immediate business needs but also lay down the groundwork for future innovations within Walmart.

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Common Interview Questions for (USA) Principal, Data Scientist - Sciences Solutions
Can you describe your experience with machine learning and data science?

Certainly! In answering this question, discuss specific projects where you employed machine learning techniques to drive business initiatives. Highlight tools you used—like Python or TensorFlow—and the outcomes of your projects, such as increased efficiency or improved decision-making. Be sure to connect your experience directly to what Walmart values in their Principal, Data Scientist - Sciences Solutions role.

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How do you approach problem-solving in data science projects?

When discussing your approach to problem-solving, illustrate a structured method. Mention gathering data, analyzing it, developing hypotheses, and testing them through iterative processes. Providing an example of a specific challenge you faced and how your approach led to a successful outcome will help build credibility in your response.

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What strategies do you use for effective collaboration across teams?

Effective collaboration in cross-functional teams is crucial, especially at a global company like Walmart. Share personal strategies you apply, such as regular communication, establishing shared goals, and adapting your communication style to suit different team members. Use an example that demonstrates your ability to work with diverse teams and achieve successful project outcomes.

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Describe an experience where you led a transformation project in a challenging environment.

In this response, narrate a specific transformation project you led, highlighting the challenges you faced, such as resistance to change or resource limitations. Discuss how you motivated the team, achieved buy-in, and ultimately succeeded. Focus on the skills that allowed you to shine, such as leadership and strategic thinking.

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How do you stay current with developments in data science and AI technologies?

Industry trends evolve rapidly, so expressing your proactive nature is vital. Discuss resources like online courses, webinars, industry conferences, and articles from leading journals that you rely on to keep your knowledge fresh. Mention any recent trends you find particularly exciting and how they could apply to Walmart’s goals.

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What tools and technologies are you familiar with for data analysis?

Mention the specific tools and technologies you’ve used—like Python, R, SQL, or cloud platforms. Provide an example of a project where these tools were used effectively to solve complex problems, emphasizing the significance of your data analysis within the context of business outcomes.

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How do you measure success in your data science initiatives?

Discuss the KPIs or metrics you typically use to measure the success of your projects. You might talk about conversion rates, user engagement, cost reduction, or improved forecasting accuracy. It’s useful to tie this back to how metrics directly inform business strategy at Walmart.

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What motivates you to work in data science and AI?

Personal motivation is crucial for identifying fit within Walmart’s culture. Discuss your passion for data-driven decision-making and how you find excitement in solving complex problems that ultimately lead to better business performance. Sharing a story about a project that inspired you can add depth to your response.

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How do you ensure your findings are communicated effectively to different audiences?

Communication is key! Describe your approach to tailoring your message based on the audience’s level of understanding. This might involve simplifying technical jargon for non-technical stakeholders or providing detailed data for technical teams. Share an example demonstrating your successful communication skills.

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What role does data ethics play in your work?

Data ethics is increasingly significant, especially at large organizations like Walmart. Address your understanding of data privacy, security, and ethical implications of AI. Discuss how you incorporate ethical considerations into your projects and decision-making processes to build trust with customers and stakeholders.

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December 11, 2024

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