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 Team: Our Data&Customer Analytics (DCA) Data Science team is part of the US OMNI TECH organization of Walmart Global Tech. We are a group of data scientists, machine learning experts, and engineers with the vision of creating delightful OMNI experience as well as transforming our business. We build cutting edge AI technology, leveraging machine learning, statistics, and optimization techniques, GenAI to help reduce cost of operations. Our work cuts across various retail domains like Customer, Supply Chain, Merchandising within the US market. We partner with our product and engineering teams to drive significant measurable business impact. Advanced AI/ML algorithms/models driven by our team help Walmart to optimize business practices, reduce cost and pass those benefits to our customers. 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 will eventually benefit our operations & our associates, helping Customers Save Money to Live Better. What you\'ll do: As a Director of Data Science, you\'ll have the opportunity to be part of the core senior technology leadership team for the Customer Data Science group. You will be focused on experimenting and applying machine learning techniques to improve effectiveness and efficiency of data systems. This role would also be the site lead for data science/data analytics engineers spanning across domains within DCA. The successful candidate will be able influence algo development that will shape our next-gen platforms. Additionally, the role will entail the following responsibilities: Coaching and developing high-performance team: Lead several teams of data scientists and engineers to ensure business deliverables are met. Train, develop and coach managers and individual contributors on technical and professional skills. Business Thought Partnership: Provide thought leadership and counsel to stakeholders in exploring possible data solutions to address business questions and business needs. Define problem statement. Translate business requirements into data / analytic strategies, initiatives, and projects, align them to business team\'s strategy and objectives. Synthesize data from different sources, provide actionable business insights and / or analytic solution to stakeholders. Technical leadership for analytic community: Develop expertise of the data domains that are owned and / or related to the business function that this role supports. Train and coach analytic staffs in mastering technical knowledge of the respective data domains to deliver analytic solutions / insights for business stakeholders. Aside from the above, you are expected to: 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\'ll bring: Bachelors/Masters/PhD from a reputed institution Minimum of 15+ years of data science experience Demonstrated history of technology leadership and strong hands-on experience Proven records of scientific publications or intellectual property generation Experience in strong programming skills across big data and ML engineering stack Strong communication skills with inclination to high ownership and commitment Experience in retail is an added plus(especially retail customer domain) Experience in GenAI is an added plus. 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 that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives. Benefits: 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. The 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 responsibilities and qualifications required of employees assigned to this job. The full can be made available as part of the hiring process. 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... 4,5,6, 7 Floor, Building 10, SEZ, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-1673257
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