Data Scientist

Who We Are

Dataseat is a part of Verve Group since July 2022. Dataseat was founded just over two years ago by two industry veterans and Entrepreneurs David Philippson & Dr Paul Hayton with the goal to change and improve the way App marketers run their programmatic media campaigns. The company provides a Bidder or DSP as a service to App marketers to in-house programmatic media buying for user acquisition and re-engagement. Dataseat also delivers analytics to provide the client with insights on Fraud, Attribution accuracy, and Incrementality to help marketers build the business case in-house and take control of the media strategy. Learn more at www.dataseat.com.

About the role

This is an opportunity to join a successful fast-moving company and be part of the Data Science team which leads Ad Optimization Research supported by an excellent Engineering team. It’s an opportunity to solve difficult problems with massive volumes of

data.

What you will do

• Design, develop, and implement statistical and machine learning models to

• recommend competitive bidding strategies, improve campaign performance and maximize client business goals

• Generate hypothesis and design effective online experiments to continuously iterate and improve on algorithm performance

• Take on unique modeling challenges not covered in the scientific literature, like extreme positive sample sparsity, feature encoding techniques

• Own research areas and have a closed feedback loop from hypothesis generation to live AB testing

What we’re looking for

• 2+ year experience with a SQL-like query language, Python, Spark, Scala and handling large datasets.

• Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis such as regression or time-series analysis.

• Ability to query large amounts of data, build models and derive insights

• Experience working in Ad-Tech and specifically real-time bidding environments.

• Nice to have: Have experience with auction dynamics and bidding strategies

• Have experience deploying effective ML models to production.

• Experience with Google Vertex AI is an advantage

• Adtech experience would be a big advantage. Otherwise experience applying machine learning in a similar real-time environment

• Nice to have: Have experience with return on ad spend (ROAS), customer lifetime value (LTV) modeling in mobile applications, Gaming or eCommerce industry