About us:
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. 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.
Overview about TII
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.
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
Team Overview
Target Data Sciences is offering an exciting opportunity to solve state of the art problems in AdTech. Target’s Roundel group is emerging as one of the biggest RMN players in US ad-tech ecosystem. As we develop the capabilities of our tech ecosystem, we are looking for driven and passionate individuals with deep AdTech science and engineering experience who can make a change in AdTech development. If you are that person, you can expect to be involved in:
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Defining, developing and integrating modules for algorithmic decision making with the ad serving tech platform
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Influencing roadmaps and driving its execution with a team of talented scientists
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Developing a multi-year vision of embedding science with adtech platform and collaborating with engineers and science team to bring it to life
Example of Problem Statements:
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How to maximize yield for advertisers and revenue for Target
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Technology and algorithms for real time algorithms on ad serving.
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Architecture to create a set of connected tech capabilities from media planning to media optimization and measurement.
Expected skills:
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Minimum five years of experience as a practitioner of AdTech
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Technical proficiency in algorithms, ad science, and engineering
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Strong collaborator and mentor
Preferred Educational background:
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Computer Science graduates from reputed engineering institutes with 10+ years of experience in data science, artificial intelligence
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MTech or MS (Statistics, Economics) with relevant experience of 12+ years
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PhD with relevant experience of 7+ years of experience
Preferred domain experience:
Creating tech led solutions in advertising, customer relevancy models, bidding strategy, click through rate modelling, etc.
Useful Links-
Life at Target- https://india.target.com/
Benefits- https://india.target.com/life-at-target/workplace/benefits
