Data Scientist - remote Remote
Job description
Who we are
Verve Group has created a more efficient and privacy-focused way to buy and monetize advertising. Verve Group is an ecosystem of demand and supply technologies fusing data, media, and technology together to deliver results and growth to both advertisers and publishers–no matter the screen or location, no matter who, what, or where a customer is. With 30 offices across the globe and with an eye on servicing forward-thinking advertising customers, Verve Group’s solutions are trusted by more than 90 of the United States’ top 100 advertisers, 4,000 publishers globally, and the world’s top demand-side platforms. Verve Group is a subsidiary of Media and Games Invest (MGI). Learn more at www.verve.com.
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.
Responsibilities
Design, develop, and implement statistical and machine learning models to recommend competitive bidding strategies, improve campaign performance and maximize client business goals
Design and test new bidding, targeting and optimization methods that may become new products or features
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
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Own research areas and have a closed feedback loop from hypothesis generation to live AB testing
Use data from Campaign Deep Dives to prove generalizable best practices
Qualifications:
Degree Computer Science, Maths, Physics or other numerate subject
2+ year experience with a SQL-like query language, Python, Spark, Scala and handling large datasets.
Experience with Zeppelin and AWS Redshift is an advantage.
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 is a plus
Experience with auction dynamics and bidding strategies is desirable
Nice to have experience with deploying effective ML models to production.
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