Scibids recrute un(e) Data Scientist – H/F

About Scibids

Marketing is a large, growing, complex industry that fuels brand growth. Digital marketing is quickly outpacing traditional marketing in size and spend. As consumers increase their usage of digital applications across more devices and channels, they generate exponential increases in data volumes. This results in huge challenges for those seeking efficient brand equity and sales growth from digital marketing. Only sophisticated decisioning technology, engineered specifically to tackle these challenges, can provide solutions.

Scibids develops AI for marketing, and today offers a solution for addressable paid digital media that creates up to 70% improvement in media campaign performance.

Over the past couple of years, Scibids has witnessed exponential growth and expanded its operations across the globe, opening offices in Singapore, London, New York, Milan, Tokyo and Madrid, to keep providing exceptional services to its global customers.

Job description

The mission of Scibids is to provide media buyers with fully automated buying strategies for display campaigns, leading to uncompared performances for a minimum of human work.

As a DataScientist, your role will be to evaluate and improve Scibids 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!

On a day to day basis, your responsibilities will include:

  • 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”.

Preferred experience

Minimum qualifications:

  • MS degree in applied mathematics (e.g., statistics, probabilities, operations research, machine learning).
  • Work / academic projects experience in data analysis or related field (e.g., as a statistician/data scientist) with actual algorithms implementation in an industry programming language (eg Python, C++…)

Preferred qualifications:

  • Professional experience (up to 3 years) or PhD degree in data analysis (e.g., as a statistician/data scientist) including deep expertise and experience in applying mathematical methods to massive datasets.
  • Professional/academic experience in a SQL-like language


Please apply here.

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