Senior Manager, Data Science

Position Summary...

What you'll do...

About Team

The Catalog Data Science Team at Walmart Global Tech is focused on using the latest research in generative AI (GenAI), artificial intelligence (AI), machine learning (ML), statistics, deep learning, computer vision and optimization to implement solutions that ensure Walmart’s product catalog is accurate, complete, and optimized for customer experience. Our team tackles complex data science and ML engineering challenges related to product classification, attribute extraction, trust & safety, and catalog optimization, empowering next-generation retail use cases.

The Data Science and ML Engineering community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Global Tech will eventually benefit our operations & our associates, helping Customers Save Money to Live Better.

What You Will Do:

As a Senior Manager - Data Science, you’ll have the opportunity to

• Lead, mentor, and manage a high-performing team of data scientists and ML engineers. Foster a collaborative and innovative team culture while providing guidance and support for professional growth.

• Drive data science initiatives aligned with Walmart's business goals. Collaborate with senior management to identify opportunities where data science can drive value and optimize customer experiences.

• Oversee the end-to-end lifecycle of complex data science projects, including scoping, planning, execution, and delivery. Ensure timely completion of projects within budget while maintaining quality standards.

• Design, build, and deploy machine learning models to solve business problems. Utilize technologies like generative AI, deep learning, computer vision, and statistical modeling.

• Collaborate with engineering teams to ensure robust data pipelines and infrastructure. Establish processes for data integration, quality assurance, governance, and compliance.

• Partner with cross-functional teams including product managers, engineers, and business stakeholders to understand requirements and deliver impactful solutions. Communicate insights effectively to drive decision-making.

• Stay updated on the latest advancements in AI/ML technologies. Drive innovation by experimenting with new methodologies and tools to enhance Walmart’s product catalog capabilities.

• Represent Walmart Global Tech in external forums by publishing research findings or presenting at conferences. Promote a culture of learning within the team by sharing best practices and insights.

• Adhere to Walmart’s policies, procedures, mission, values, standards of ethics and integrity

• Adopt to Walmart’s quality standards, develop/recommend process standards and best practices across the retail industry

What You Will Bring:

• PhD with > 7 years of relevant experience / Master’s degree with > 10 years of experience/ 4-year bachelor’s degree with > 12 years of experience. Educational qualifications should be preferably in Computer Science or a strongly quantitative discipline.

• Proven track record of leading data science teams, including hiring, coaching, and fostering a collaborative culture. Experience managing hybrid or remote teams is valuable.

• Strategic planning to align data initiatives with organizational goals, prioritizing high-impact projects while managing resources and budgets.

• Experience partnering with product, engineering, and analytics teams to integrate ML solutions into business workflows.

• Ability to translate technical insights into actionable business strategies for executives and non-technical stakeholders. Strong storytelling with tools like Tableau or Power BI.

• Tackle ambiguous business challenges with innovative, data-driven solutions.

• Strong communication skills with inclination to high ownership and commitment

Good to haves:

•  Experience with Ecommerce domain.

About Walmart Global Tech:

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people.  That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. 

We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Flexible, hybrid work:

We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives.

Benefits:

Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, 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.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

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.

Primary Location...

4,5,6, 7 Floor, Building 10, Sez, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India