Principal Data Scientist Tower 02, Manyata Embassy Business Park India
3 days ago
As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target, we have a timeless purpose and a proven strategy. And that hasn’t happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations.
Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.
Pyramid Overview
A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on.
Role Overview
As PrincipalData Scientist, you will join a Data Sciences team responsible for creating highly personalised offers for our Guests. You will play crucial role in designing, implementing, and optimising highly scalable machine learning solutions in production. Also, we expect you to guide the ML talent in the team on both algorithms and engineering.
Requirements:
10 + or more years of extensive experience in Machine Learning
Architect performant ML solutions that are built to scale and adopt guiding principles of automation, efficiency and reusability.
Drive creation of new standards and best practices with a focus on emerging technologies and author various project related documents and technical roadmaps.
Work in partnership with data scientists, software engineers and product managers to understand the business requirements and translate them to machine learning solutions.
Stay up-to-date with the latest advancements in recommendations and AI research
Self-driven and results oriented; able to meet tight timelines; Team player with ability to collaborate effectively across geographies.
Mentor team members and partners on effective data science modelling and outcomes.
Preferred:
MS or PhD in a quantitative field
Experience with developing highly distributed ML systems and online recommendation systems.
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Bengaluru, India Target Full timeAbout us:Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. .A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join...
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Bengaluru, Karnataka, India Target Full timeAbout us:Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. .A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our...
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Bengaluru, India Target Full timeAs a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target, we have a timeless purpose and a proven strategy. And that hasn’t happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning...
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