Dataseat provides a Bidder / DSP as a service to App marketers.
Dataseat was founded just over a year 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 provides analytics to support clients with insight on fraud, attribution accuracy and incrementality to help marketers build the business case to in-house and take control of the media strategy.
Dataseat is backed by industry leading VCs and Angel Investors. The role will sit within the Data Science team and you will be part of the programmatic advertising in-house revolution, developing contextual ML models, producing insight for our customers and supporting product and commercial teams.
Dataseat operates in a big data environment, receiving in excess of 250,000 qps (queries per second) which we have to score in real time and respond within milliseconds with a decision to bid or not.
The role is very hands-on, and If you are keen to join an early stage startup within the ad-tech industry and be part of a fantastic team then this is the opportunity for you. This role will provide huge opportunities for growth as it is such a pivotal role which will have an immediate impact on the business.
ML model building using cutting edge algorithms (Deep Learning, XGBoost, GBM, etc.) from a proof of concept to productionised models, monitoring the performance of live models bidding in real time and producing insight for customers (understand what drives installs/retention behaviours).
Continuous research and improvements on productionised models, including ML feature engineering and model training tuning to reflect changes in users’ behaviours and market dynamic.
Collaborating closely with the commercial team to identify, develop and optimise business opportunities.
Generating insight from campaign data using Python, Tableau, and other technologies to satisfy customers’ needs. Reviewing, monitoring and optimising running campaigns and integrations providing advice and troubleshooting for customers.
STEM degree or relevant experience. Experience in online mobile advertising is a plus.
5+ year experience with a SQL-like query language, Python, Spark, Scala and handling large datasets. Experience with Zeppelin and AWS Redshift is an advantage.
Working industry experience in real-time bidding environments.
Good communicator who can explain and understand complex problems while dealing with both non-technical and technical teams.
Ability to query large amounts of data, build models and derive insights for customers.
Ability to structure and solve difficult problems with minimal supervision.
A focus on details and willingness to learn.
London based but opportunity to work from home several days a week (currently all the employees are working remotely full time).
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