Director Data Sciences- AdTech Tower 02, Manyata Embassy Business Park India

4 weeks ago


Bengaluru, India Target Full time

About the role:

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 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

Lead a team of scientists and mentor them to be successful in delivering impactful outcomes

Example 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 five years of experience as a practitioner of AdTech

Technical proficiency in algorithms, ad science, and engineering

Strong collaborator and mentor (people leaders will be preferred)

Preferred Educational background :

Computer Science graduates from reputed engineering institutes with 10+ years of experience in data science, artificial intelligence

MTech or MS (Statistics, Economics) with relevant experience of 12+ years

PhD with relevant experience of 7+ years of experience

Why work with us at Target?

We love open source

We own years of transactional, guest, financial, inventory, many other operational datasets

We offer top class growth and wellness structures

We believe in continuous learning (50 days of learning with a variety of proprietary platforms)

Formal big box and online retailing industry is growing fast and poised to grow further



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