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Director, Data Science - Machine Learning Economist, Global People Insights - job 1 of 9

Position Summary...What you'll do...About Us:At Walmart, we are embarking on an exciting journey to build a world-class people analytics function. Our vision is to create a leading-edge analytics team that will set the standard for how workforce data can drive business outcomes and shape the future of work. This team will serve as a center of excellence, providing thought leadership and innovative solutions that influence not only our company but also the broader industry. We are seeking a highly experienced Director of People Analytics to help us build and lead this effort, using advanced machine learning, econometrics, and NLP methods to uncover deep insights about our workforce and drive strategic decision-making.Position Overview:As the Director of People Analytics, you will be a key architect in the development of our analytics capabilities, shaping the team, tools, and methodologies that will elevate our workforce analytics to a best-in-class level. This role requires a visionary leader who combines deep technical expertise with exceptional communication and leadership skills. You will collaborate closely with senior stakeholders to identify high-impact business challenges and deliver insights that will guide our people strategy. Beyond econometrics and machine learning, you'll apply advanced econometrics to solve complex problems and help build the foundation of a people analytics function that external organizations will look to for thought leadership in the future.Key Responsibilities:• Build & Lead a Cutting-Edge Team: Develop and grow a high-performing people analytics team, providing strategic direction and fostering a culture of continuous learning, innovation, and collaboration.• Advanced Analytics & Machine Learning: Apply machine learning techniques (including but not limited to NLP, econometrics, clustering, classification, and predictive modeling) to large datasets, deriving actionable insights that influence key business decisions.• NLP Expertise: Leverage advanced natural language processing techniques to analyze text data from diverse sources, driving insights into employee engagement, sentiment, and organizational performance.• Strategic Development: Collaborate with senior leaders to identify key areas where analytics can drive business value and partner with cross-functional teams (HR, Strategy, Operations) to define critical metrics and develop solutions.• Infrastructure Building: Help design and implement scalable data systems and processes that support robust workforce analytics, ensuring data quality and the ability to execute advanced modeling.• Data-Driven Storytelling: Communicate findings clearly and persuasively, translating complex analytical results into actionable insights for both technical and non-technical audiences, including senior leadership.• Thought Leadership & External Influence: As the team grows, establish Walmart as a leader in people analytics, contributing to the broader industry by sharing best practices and innovative approaches that others will look to replicate.Basic Qualifications:• Advanced degree (Master's or PhD) in Data Science, Economics, Econometrics, Statistics, or a similarly quantitative discipline.• 10+ years of experience in data analytics, with a minimum of 5 years in people analytics or related fields.• Proven expertise in machine learning techniques and NLP methods, including experience with large-scale data processing and analysis using Python and SQL.• Strong verbal, written communication, and presentation skills; ability to simplify complex data into actionable insights for senior leaders.• Experience managing and developing data science teams, with a passion for mentorship and growing talent.• Ability to balance strategic vision with day-to-day execution in a fast-paced, evolving environment.Preferred Qualifications:• Experience applying econometric methods to workforce data, including causal inference techniques such as instrumental variables and propensity score matching.• Familiarity with workforce analytics, employee engagement, or related HR data.• Strong business acumen and ability to drive strategic impact through data analysis.• Experience working with senior executives to influence and shape talent strategies.• A forward-thinking, innovative mindset with a desire to establish best practices and shape the future of people analytics.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.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 $130,000.00-$260,000.00Additional 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 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 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, 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), 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...508 Sw 8Th St, Bentonville, AR 72712, United States of America
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What You Should Know About Director, Data Science - Machine Learning Economist, Global People Insights, Walmart

Are you ready to take the reins as the Director of Data Science - Machine Learning Economist at Walmart? Based in the lively town of Gravette, AR, this role is all about pioneering a world-class people analytics function that truly shapes the future of work. At Walmart, we don’t just follow trends; we set them! Join our innovative team as you lead a talented group of data scientists in utilizing advanced machine learning, econometrics, and natural language processing to dive deep into workforce data. You'll be the expert helping identify key business challenges and transforming them into actionable insights that empower our people strategy. The position demands not just technical prowess but also stellar leadership and communication skills to ensure senior stakeholders grasp complex analytical results. Your contributions will create a robust analytics foundation at Walmart while also sharing best practices with the broader industry. If you have a passion for mentorship and a visionary mindset, then we want you to make this impact with us. Exciting benefits are on offer, including competitive pay and performance-based bonuses—who wouldn’t want to be part of that? So gear up, because this is not just a job; it's a career move that has the potential to influence and lead in the field of people analytics!

Frequently Asked Questions (FAQs) for Director, Data Science - Machine Learning Economist, Global People Insights Role at Walmart
What are the key responsibilities of the Director of Data Science - Machine Learning Economist at Walmart?

The Director of Data Science - Machine Learning Economist at Walmart is pivotal in building and leading a cutting-edge people analytics team. Responsibilities include applying advanced analytics methodologies, driving insights that influence the company's people strategy, collaborating with senior stakeholders, and designing scalable data systems. This leader is expected to leverage machine learning techniques and natural language processing to uncover insights that enhance employee engagement and organizational performance.

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What qualifications are required for the Director of Data Science position at Walmart?

To be considered for the Director of Data Science - Machine Learning Economist at Walmart, candidates must possess an advanced degree in Data Science, Economics, or a quantitatively focused discipline. Additionally, having 10+ years in data analytics, including at least 5 years in people analytics, is essential. Proven experience with machine learning and NLP techniques, along with exceptional communication and leadership skills, is also required.

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How does Walmart foster team growth for the Director of Data Science role?

Walmart prioritizes the development of its employees, especially in the Director of Data Science - Machine Learning Economist role. The leader is expected to nurture a high-performing analytics team by providing strategic guidance, promoting a culture of continuous learning and innovation, and offering mentorship to grow talent within the team. Building a supportive and inspiring environment is a key focus to ensure long-term success.

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What advanced analytics methods will be utilized in the Director of Data Science role at Walmart?

In the Director of Data Science - Machine Learning Economist position at Walmart, a variety of advanced analytics methods will be utilized, including machine learning techniques such as clustering, classification, and predictive modeling. Natural language processing will also be leveraged to analyze text data, providing valuable insights into employee sentiment and engagement, which are crucial for shaping Walmart's overall people strategy.

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What is the career impact of the Director of Data Science - Machine Learning Economist position at Walmart?

The Director of Data Science - Machine Learning Economist role at Walmart is not just a job; it is an opportunity to lead and influence best practices in people analytics industry-wide. By collaborating with senior leadership and driving strategic initiatives, this position will contribute significantly to Walmart's business outcomes and workforce management, creating a ripple effect in organizational effectiveness and employee satisfaction.

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Common Interview Questions for Director, Data Science - Machine Learning Economist, Global People Insights
Can you describe your experience with machine learning techniques and how they've influenced your work in previous roles?

When responding to this question, focus on specific projects where you've successfully applied machine learning techniques. Highlight the impact of your contributions and how they led to actionable insights, especially in a people analytics context. Providing concrete examples will make your answer stand out.

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How do you approach building high-performing teams in analytics?

In your answer, discuss your philosophy on team development, touching on aspects like mentorship, continuous learning, and fostering an innovative culture. Share relevant examples that demonstrate your leadership style and impact on team performance within an analytics environment.

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What strategies do you use to translate complex data insights into actionable recommendations for senior stakeholders?

Emphasize your communication skills and ability to simplify complex concepts. Include examples of how you've effectively conveyed data insights to non-technical stakeholders, showcasing your adaptability and understanding of their needs.

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Can you explain how you apply econometric methods to workforce data?

Provide an overview of your experience with econometric techniques, illustrating how you have used causal inference methods such as propensity score matching in workforce analytics. Mention outcomes that strengthened decision-making processes in past roles.

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How do you ensure data quality and integrity in analytics projects?

Discuss the processes you implement to maintain data quality, such as regular audits, validations, and the use of automated tools. Highlight instances where your approach significantly improved data reliability, which is crucial for sound analytics.

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What tools and technologies do you utilize in data analysis and modeling?

Mention specific programming languages, tools, and frameworks you are proficient in, such as Python, SQL, and open-source libraries. Highlight how your familiarity with these technologies enhances your ability to perform advanced analysis and derive insights.

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Describe a time when you faced a significant challenge in a data analytics project. How did you overcome it?

Give a specific example of a challenge, discussing the steps you took to address it and the ultimate outcome. Demonstrating problem-solving skills and resilience will reflect positively on your capabilities.

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How do you keep up with the latest trends and developments in data science and analytics?

Mention your commitment to continuous learning, such as attending conferences, participating in webinars, or engaging with professional communities. Show your enthusiasm for evolving in the field and applying the latest insights to your work.

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Can you share an example of how you've used data storytelling to influence a business decision?

Provide a compelling story that highlights how you used data visualization and narrative techniques to make your insights accessible and persuasive. Include the impact it had on decision-making and business outcomes.

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What role do you see AI and machine learning playing in the future of workforce analytics?

Share your vision of leveraging AI and machine learning to enhance workforce analytics processes, such as predicting trends, improving employee engagement, and informing strategic decisions. This demonstrates your forward-thinking approach.

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December 13, 2024

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