Job Location: Bangalore
Our Company
We help people around the world save money and live better – anytime and anywhere – in retail stores, online and through their mobile devices. Each week, more than 220 million customers and members visit our 11,096 stores under 69 banners in 27 countries and e-commerce websites in 10 countries. With 2017 fiscal revenues of approximately $486 billion, Walmart employs 2.3 million employees worldwide.
At Walmart Labs in Bangalore, we use technology for the charter of building brand new platforms and services on the latest technology stack to support both our e-commerce and stores businesses worldwide.
Our Team
US Omni Tech – Marketplace
This is the team which builds reusable technologies that aid in acquiring customers, onboarding and empowering merchants besides ensuring a seamless experience for both these stakeholders. They also optimize tariffs and assortment, adhering to the Walmart philosophy – Everyday Low Cost. In addition to ushering in affordability, they also create personalized experiences for customers the omnichannel way, across all channels – in-store, on the mobile app and websites.
Marketplace business is a key part of Walmart US ecommerce. The objective of the marketplace engineering organization is to build the best in class marketplace experience for our sellers and customers. The senior manager 1 – data scientist role will be leading the data science team and will play a key role working along with others within the Marketplace engineering organization, product managers and business stakeholders to build Machine Learning products.
Your Opportunity
A Senior Manager II – Data Science is responsible for managing a team of Data Science/ML experts.
- Having expertise analyzing large data sets to develop multiple custom models and algorithms to drive innovative business solutions.
- Works on large project teams in order to provide data science expertise and guidance to an assigned area on for large projects.
- Drives the execution of multiple business plans and projects
- Provides supervision, coaching and development opportunities for associates
Position Requirements
- Proficiency in data mining, modelling, validation and insight generation.
- Excellent working knowledge of statistics, mathematics and machine learning algorithms.
- Proficiency in coding languages, including Python and SQL
- Ability to work with large data sets. Has sound understanding of big data technology stack.
- Understanding of GCP and large-scale databases
- Proven ability to collaborate and work in teams
- Excellent with communications and stakeholder engagement
- Data science publications in recognized platforms/journals
- Proven ability to lead agile data science sprint projects
- Research new techniques and best practices within the industry.
- Validate models and algorithmic techniques.
- Retail experience preferred
- Master’s degree in Statistics/Mathematics/Management/Data Science from a premier institute. And 12+ years of experience in the field of data science.
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