DIRECTOR, DATA SCIENCE

Position Summary...

Provides overall direction by analyzing business objectives and customer needs; developing, communicating, building support for, and implementing business strategies, plans, and practices; analyzing costs and forecasts and incorporating them into business plans; determining and supporting resource requirements; evaluating operational processes; measuring outcomes to ensure desired results; identifying and capitalizing on improvement opportunities; promoting a customer environment; and demonstrating adaptability and sponsoring continuous learning. Develops and implements strategies to attract and maintain a highly skilled and engaged workforce by diagnosing capability gaps; recruiting, selecting, and developing talent; supporting mentorship, workforce development, and succession planning; and leveraging the capabilities of new and existing talent. Cultivates an environment where associates respect and adhere to company standards of integrity and ethics by integrating these values into all programs and practices; developing consequences for violations or non-compliance; and supporting the Open Door Policy. Develops and leverages internal and external partnerships and networks to maximize the achievement of business goals by sponsoring and leading key community outreach and involvement initiatives; engaging key stakeholders in the development, execution, and evaluation of appropriate business plans and initiatives; and supporting associate efforts in these areas.

What you'll do...

About the team:

Finance Tech Data Science team at Walmart Global Tech focuses on using the latest research in machine learning, statistics, and optimization to solve business problems in Controllership, FP&A. We mine data, distill insights, extract information, build analytical models, deploy Machine Learning algorithms, and use the latest algorithms and technology to empower business decision-making. In addition, we work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions. Advanced analytical algorithms driven by our team will help Walmart to enable timely strategic decisions, optimize business operations and business practices.

There is a vibrant data science community at Walmart that provides great learning and collaboration opportunities. Apart from the numerous internal events, there is active participation in external events. All the work we do at Walmart Labs will eventually benefit our operations & our associates, helping Customers Save Money to Live Better.

What you'll do:

Curious: You stay up to date with the latest technology developments in the data science community, and are excited to enable high-impact outcomes in the face of complex problems and large datasets

Bold and with a bias for action: You’re a doer, thriving on the challenges of delivering hardened and optimized models as part of production systems

Pragmatic and focused on results: You like working in a fast-paced environment and making practical trade-offs to test, learn and deploy AI/ML solutions that have material impact on business

Technically strong and high-performing individual with excellent communication skills, a proven analytical mindset, and customer focus.

Good storyteller and able to articulate the intricacies of AI/ML to varying audience. In addition, industry knowledge of the retail space, with a keen interest in keeping up to date on the latest happenings in this space.

What you'll bring:

As team lead, grow a team of high performing data scientists and drive business value through application of advanced analytics and data science.

Coordinate across retail value chain functional teams of data scientists, analysts, product managers, engineers, and business operators on value realization initiatives.

Develop and leverage a consistent framework to identify and prioritize uses cases based on business value.

Play a key role to solve complex problems, pivotal to Walmart's business and drive actionable insights.

Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping.

Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems.

Lead and collaborate with the team to assess customer needs and translate the business problem into an analytical problem.

Establish data science best practices and drive the use of state of art techniques.

Build a data culture and influence data-drive decision making across business.

Develop and leverage internal and external partnerships and networks to maximize the achievement of business goals.

Architect, develop, and deploy large-scale AI / ML solutions from prototype through production that meet key business requirements (performance, reliability, speed, monitoring, self-service, etc.).

Establish operational and engineering excellence for data science products. Influence the domain’s data strategy, providing input into overall technical roadmap and data acquisition / transformation prioritization.

Build the Finance Tech Data Science brand for Walmart internally and externally.

Develop and implement strategies to attract, develop, and retain a highly skilled and engaged workforce

Mentor and coach data scientists.

Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving.

Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.

Position Requirements:

Bachelor’s / Masters / PhD degree in engineering or relevant discipline

At least 15+yrs years of professional experience in roles focused on adding value through building analytics and data science-based solutions and products for complex, cross functional business problems

Strong background with Machine Learning concepts and experience working closely with Data Scientists to scope and deliver use cases

Proficiency in modern software engineering practices and core computer science concepts across algorithms, data structures and distributed computing

Knowledge of data warehousing and data lake concepts, methodologies, and frameworks and their implications on data science solutions.

Knowledge of software engineering / DevOps / MLOps practices including experimentation and testing methodologies.

Experience with cloud computing platforms

Entrepreneurial attitude and ability to drive change and navigate ambiguity when building new capabilities in an enterprise setting

Background in managing AI/ML and technology teams and partnering with business leaders is essential

Good knowledge of agile methodologies and tools

Passion for understanding business challenges and delivering against those challenges

Previous roles with leading companies in the retail industry are a plus

Mandatory Skills DATA SCIENCE, MACHINE LEARNING, PYTHON

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
Walmart’s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our Bangalore office for daily work, with the flexibility for associates to manage their 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.

Belonging

We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.

At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.

Equal Opportunity Employer

Walmart, Inc., is an Equal Opportunities 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 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 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 field. 2 years' supervisory experience.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Primary Location...

, , India