Position Summary...
What you'll do...
**About Team: **
Ever wondered what would a convergence of online and offline advertising systems look like? Ever wondered how we can bridge the gap between sponsored search, display, video ad formats? Ever thought how we can write our own ad servers which serve billions of requests in near real-time? Our Advertising Technology team is building an end-to-end advertising platform that is key to Walmart’s overall growth strategy. We use cutting edge machine learning, data mining and optimization algorithms to ingest, model, and analyse Walmart’s proprietary online and in-store data, encompassing 95% of American households. Importantly, we build smart data systems that deliver relevant retail ads and experiences that connect our customers with the brands and products they love.
What you will do:
As a Senior Manager – Data Analytics , 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.
- 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.
- Adopt Wal-Mart’s quality standards and develop and recommend process standards and best practices across the retail industry.
- 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 and COLT
- Participate and speak at various external forums such as research conferences and technical summits.
- Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.
What you will bring:
- B.E.,/B.Tech with > 14 years of experience / master’s degree with > 10 years of experience. Educational qualifications should be preferably in STEM. Experience should be relevant to the role.
- Experience in analysing complex problems and translating them to data science algorithms with due attention to computational efficiency and testing at scale.
- Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic / Causal Model, Statistical Learning, Guided Decisions, Topic Modelling
- Experience working with big data - identifying trends, patterns, and outliers in large volumes of data.
- Experience with SQL, relational databases and data warehouse
- Experience with big data platforms - Hadoop(Hive, Pig, Map Reduce, HQL) / Spark / H20
- Experience with multiple stakeholder management, data based story-telling, mentoring peers and juniors, multiple project handling at the same time.
- Experience in managing Analytics team and data engineers and providing them conceptual and guided support.
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.
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/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: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 3: 6 years' experience in data analysis, data science, statistics, or related field. 1 year's 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...
Block- 1, Prestige Tech Pacific Park, Sy No. 38/1, Outer Ring Rd Kadubeesanahalli , India