Director Data Sciences

Tower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bengaluru 540065


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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 backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win

Pyramid Overview

A role with Target’s Data Sciences team 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.  


Team Overview

As a Director Data Science, you will be responsible for leading data science products that support the business priorities of the Merchandising function. Examples of such high impact data products include the optimization of Space, Product-flow, as well as Shelf-placement of items in ALL of 1900+ Target stores. You will lead the build and deployment of the solution that helps to identify the optimal space, store layout, and shelf-placement of items for each product category needs to be provided, in order to maximise sales and profitability. You will also lead data products around our Owned Brands that will use ML-techniques to help drive decision modelling for large assortment of Target’s private label brands. Deployment of these data products will leverage the full power of the mathematical / computational architecture we have developed and deployed in an MLOps framework. This leadership role is responsible for providing work direction to bright data scientists and help develop a highly diverse and engaged team with a focus on continuous upskilling and learning. This role will also have the opportunity to work directly with senior leaders and partners in the business teams to influence and drive the data science roadmap for Merchandising business at Target.

Core responsibilities are described within this job description. Job duties may change at any time due to business needs.

About you:

  • M.S. or Ph.D. in math, advanced statistics, physics, bio statistics, bio science, operations research or computer science
  • Strong academic credentials in Mathematics - well-trained in Math foundations (specifically in Probability Theory, Real Analysis, and Linear Algebra)
  • 10+ years of experience deploying algorithms in a production environment with atleast 4+ years of developing highly performing data science teams
  • Deep understanding of the Merchandising business processes would be an added advantage
  • Must have strong written and oral communication skills, and the ability to debate proposed ideas from both a business perspective and from a mathematical perspective.
  • Proven ability in working and influencing the data roadmap of various business teams and stakeholders
  • Strong negotiation skills

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Tags: Architecture Computer Science Linear algebra Machine Learning Mathematics MLOps Physics Probability theory Research Security Statistics

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

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