SENIOR MANAGER, DATA SCIENCE

IN KA BANGALORE Home Office PTPP1

Job Description

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 promoting a belonging mindset in the workplace. 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...

About the team

The Applied AI team researches and develops algorithms that power areas like supply chain, pricing, assortment optimization, replenishment, store layout, etc. You will be working closely with other data scientists, machine learning engineers, operations research scientists and data analysts within the team as well collaborate with business teams, product managers, corporate strategists, software engineers and data engineers.

We work with various techniques primarily from forecasting, operations research and often make use of techniques from machine learning (classical machine learning, deep learning, reinforcement learning), causal inference and statistics. Our work is innovative and is published in top tier conferences and journals.

What You’ll Do

As a Senior Manager Data Science for Walmart Global Tech, you’ll have the opportunity to
•   Apply and/or develop ML solutions to develop efficient and scalable models at Walmart scale.
•   Play a key role to solve complex problems, pivotal to Walmart’s business and drive actionable insights from terabytes of data.
•   Leverage data science tools and techniques, keeping abreast with the latest in the community to solve problems for Walmart.
•   Lead & mentor a team of data scientists and collaborate with counterparts in business, engineering, and science to find impactful solutions to business problems.
•   Define and/or own the model goodness metrics and track the business impact over time.
•   Present recommendations from complex analysis to business partners in clear and actionable form, influencing the future.
•   Develop PoC, present lucidly to the business and evolve the solutions.
•   Take forward the solutions into Pipelines/APIs as needed by the business.
•   Research, learn/disseminate & adapt new technologies to solve problems & improve upon existing solutions.
•   Manage the continuous improvement of data science and machine learning by following industry best practices and staying up to date with and extending the state-of-the-art in Machine Learning research.
•   Integrate data science solutions into current business processes.
•   Develop and recommend process standards and best practices in Machine Learning as applicable to the retail industry.
•   Mentor peers and junior members and handle multiple projects at the same time.
•   Peer review and publish work in top tier ML/AI conferences such as NIPS, ICML, AAAI, INFORMS and KDD
•   Participate and speak at various external forums such as research conferences and technical summits.

What You’ll bring
•   PhD with > 6 years of experience / master’s degree with > 8 years of experience / bachelor's degree with > 10 years of experience. Educational qualifications should be preferably in STEM. Experience should be relevant to the role.
•   Experience in analyzing complex problems and translating them to data science algorithms with due attention to computational efficiency and testing at scale.
•   Expertise in machine learning, supervised and unsupervised: Latest technique in Deep Learning, Machine Learning and Recommendation Systems, with building machine learning systems at scale.
•   Experience working with big data - identifying trends, patterns, and outliers in large volumes of data and big data platforms - Hadoop(Hive, Pig, Map Reduce, HQL) / Spark / H20
•   Worked with at least one mainstream machine learning framework such as caffe, convNet, Tensor Flow and Torch
•   Experience with multiple stakeholder management, data based story-telling, mentoring peers and juniors, multiple project handling at the same time.

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.

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/Chennai] 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 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.