• MS degree in applied mathematics (e.g., statistics, probabilities, operations research, machine learning)
• 2 years experience as a Data scientist with actual algorithms implementation in an industry programming language (eg Python, C++...)

Desirable

• As a DataScientist, your role will be to evaluate and improve "Scibids DoubleVerify" bidding algorithms, which are Scibids main asset, and to actively participate into Scibids automation and development process: each business case not yet automatically handled by our product should be met by the corresponding product improvement
• This position will combine analytical rigor, a relentless curiosity, a strong knowledge of statistical methods and experience in implementing them
• This position will combine high development standards, a relentless curiosity, a strong understanding of business priorities and the ambition for your work to become a real game changer!
• Working with massive datasets (billions of ads impressions/month) and millions of variables
• Solving non-routine analysis problems (not handled by off-the-shelf ML solvers)
• Solving challenging scaling/engineering problems as our system produces thousands of ML models per day
• Working closely with the commercial and customer success team and help identify the business cases where a new algorithm is needed/existing ones need improvement
• Identify and automate any repetitive process taking place at Scibids, including cases where this means developing some AI routines replacing “human common sense”