Lead Data Scientist - Ad Tech

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 Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt 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 Targets global team and has more than 4,000 team members supporting the companys 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, youll be challenged to harness Targets 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 . Targets 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 platform

Influencing roadmaps and driving its execution with a team of talented scientists

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

How to maximize yield for advertisers and revenue for Target

Technology 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
AdTech

Technical proficiency in
algorithms, ad science, and engineering

Strong 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 experience

Masters degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics)

Good knowledge and experience developing optimization, simulation, and statistical models

Strong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches where required

Strong hands-on programming skills in
Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory

Good working knowledge of mathematical and statistical concepts, MILP, algorithms, and computational complexity

Passion for solving interesting and relevant real-world problems using a data science approach

Experience in
implementing advanced statistical techniques like
regression, clustering, PCA, forecasting (time series) etc.

Able to produce reasonable documents/narrative suggesting actionable insights

Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives

Self-driven and results oriented; able to meet tight timelines

Strong team player with ability to collaborate effectively across geographies/time zones

Know More
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