Principal Data Sciences

1 week ago

Karnataka, India Target Full time

**Principal Scientist
- AdTech**

**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

**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

**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

**Preferred domain experience**: Creating tech led solutions in advertising, customer relevancy models, bidding strategy, click through rate modelling, etc.

**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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