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:

Defining, developing and integrating modules for algorithmic decision making with the ad serving tech platformInfluencing roadmaps and driving its execution with a team of talented scientistsDeveloping 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:

How to maximize yield for advertisers and revenue for TargetTechnology and algorithms for real time algorithms on ad serving.Architecture to create a set of connected tech capabilities from media planning to media optimization and measurement.

Expected skills:

Minimum 4 years of experience as a practitioner of AdTechTechnical proficiency in algorithms, ad science, and engineeringStrong collaborator and mentor

Preferred domain experience:

Creating tech led solutions in advertising, customer relevancy models, bidding strategy, click through rate modelling, etc.

About You:

4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) and 4+ years of professional experience or equivalent industry experienceMaster’s degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics)Good knowledge and experience developing optimization, simulation, and statistical modelsStrong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches where requiredStrong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatoryGood working knowledge of mathematical and statistical concepts, MILP, algorithms, and computational complexityPassion for solving interesting and relevant real-world problems using a data science approachExperience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series) etc.Able to produce reasonable documents/narrative suggesting actionable insightsExcellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narrativesSelf-driven and results oriented; able to meet tight timelinesStrong team player with ability to collaborate effectively across geographies/time zones

Know More About Us:

Life at Target- https://india.target.com/

Benefits- https://india.target.com/life-at-target/workplace/benefits

Culture- https://india.target.com/life-at-target/belonging