IN KA BANGALORE Home Office PW II, India
19 hours ago
(IND) SENIOR MANAGER, DATA SCIENCE
Position Summary...Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning. Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching for success and improvement; and ensuring diversity awareness. Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy. Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness; and participating in and supporting community outreach events.

What you'll do...

Do you like building ML based payment and restricted spend platforms and data products that have a multi-billion-dollar impact? Do you like staying ahead of the rapidly evolving fintech, retail and healthcare industry? Come join Walmart’s Payments and Data Intelligence team!

About the team:

The Payments Intelligence team optimizes billions of payments through advanced analytics and machine learning. We build and operate a real-time data platform that powers revenue growth, fraud prevention, and enhanced customer experiences across Payments, Directed Spend, Checkout, and promotions. Our team is responsible for developing and deploying ML models that improve payment authorization rates, strengthen payment resiliency, and increase the effectiveness of promotions and rewards programs. We also drive adoption of Directed Spend by providing actionable insights.

Our team supports cross divisional programs for Transactional Systems as a part of the Global Tech organization. 

We are looking for a Senior Manager, AI/ML who has the passion to build a team, lead and direct large-scale, complex, multi-year products across organizations, executives, stakeholders, with the ability to influence partner teams, data scientists, ML engineers, product managers and software developers. A successful candidate will have an established background in launching software or services, hands on data science, AI, ML, experience in driving technical products, an entrepreneurial background, and a passion for great customer-centric online products.

Your work will have direct impact on Walmart’s top-line revenue and bottom-line profit and you will have a direct impact on the business goals of Fortune #1 company. This role also offers a unique opportunity to innovate and improve on ways to use Walmart’s e-comm & omni-channel products like Scan & Go, Walmart Stores and external data to solve problems.

What you'll do: 

Lead a team of data scientists, machine learning engineers and software engineers to design, architect, build AI/ML models and systems, and deploy, operate and optimize the solutions Drive Agile practice in a highly collaborative environment with a multidisciplinary team. Design end-to-end system architecture for GenAI/AI/ML and data intensive applications Manage and mentor team of data scientists to develop their skills and business understanding Develop and deploy production-grade real-time/batch machine learning services Work with product managers to design user journeys, feedback loop and analyze user telemetry Identify or propose AI/ML use-cases to business teams to improve business processes and develop quick MVPs/ POCs to help stakeholders make better decisions Uphold a set of robust work standards to ensure we build trustworthy AI/ML solutions Collaborate with applied researchers and data scientists to iteratively improve our ML models and refine MLOps practice   

What you’ll bring: 

You have 13+ years' experience in design, development, deployment, and maintenance of highly scalable, robust, and user-centric GenAI /AI /ML products and applications You have a bachelor's/master's degree in computer science, information technology, engineering, statistics, economics, mathematics, or related area You have excellent industry experience in production-grade AI/ML system development with major technology companies or AI-native start-ups. You can execute our trustworthy AI/ML practice with stakeholders across the enterprise. You can effectively manage and coach junior data scientists You can communicate internally and externally through publications, presentations, and other mediums on research progress, major breakthroughs, and product innovation. You have extensive experience with statistical analysis and programming languages e.g. Java, Python and mainstream machine learning frameworks, e.g. TensorFlow or PyTorch. You have experience in building deep learning applications, neural network deployment optimizations and architecting ML systems You have experience in developing chatbots/ NLP/ recommendation-engine systems You are excited about building distributed machine learning systems at scale in production   You are familiar with version control using Git in collaboration settings  You have experience at writing high-performing production-quality code in Python  You have experience in working with end-to-end CI/CD pipelines and experience with Kubernetes  You are thorough, meticulous and detail oriented You believe in the importance of establishing work standards and leveraging automations   You have a history of collaboration, openness, honesty, timely decision making, and clear communication in both verbal and written forms   You embrace lifelong learning - always learning new technologies and techniques. You are also engaged in the open-source communities to both find answers and help others  

About Global Tech 

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That’s what we do at Walmart Global Tech. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.3 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human led is our true disruption. 

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 many best-in-class benefits like maternity and parental leave, PTO, health benefits, and more. 

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 to 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...Pardhanani Wilshire Ii, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India
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