Lead Data Scientist - Ad Tech

1. Defining, developing and integrating modules for algorithmic decision making with the ad serving tech platform
2. Influencing roadmaps and driving its execution with a team of talented scientists
3. 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:

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

Expected skills:

1. Minimum 4 years of experience as a practitioner of AdTech
2. Technical proficiency in algorithms, ad science, and engineering
3. 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:

1. 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) and 4+ years of professional experience or equivalent industry experience
2. Master’s degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics)
3. Good knowledge and experience developing optimization, simulation, and statistical models
4. Strong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches where required
5. Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory
6. Good working knowledge of mathematical and statistical concepts, MILP, algorithms, and computational complexity
7. Passion for solving interesting and relevant real-world problems using a data science approach
8. Experience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series) etc.
9. Able to produce reasonable documents/narrative suggesting actionable insights
10. Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
11. Self-driven and results oriented; able to meet tight timelines
12. Strong team player with ability to collaborate effectively across geographies/time zones