Data Scientist

Description de l'offre

About

Following the steps of quantitative finance, online advertising is transitioning from a marketing domain to a purely mathematical one with advertising inventories being bought in real time through exchange markets by “trading desks”.

Scibids Technology equips these trading desks with an artificial intelligence software computing the optimal amount to bid for each advertising opportunity, thus bringing its clients dramatic performance and productivity uplifts.

Scibids was selected in 2017 as one of the 62 most innovative startups (amongst 2000+) in the extremely selective “I-Lab” competition by the French public bank & French research ministry. It was also selected in the "Top 100 French Startup To Follow in 2017" by Business Insider.

Two years only after its creation, the company already has several dozens of clients throughout the world and its portfolio keeps on growing! In September 2018, Scibids announced a €2,2M funding in order to support its global ambition to remain the largest algorithmic media trading application in the world.

What you will do

The mission of Scibids is to provide to media buyers fully automated buying strategies for display
campaigns, bringing the best performances for a minimum human work.

As a Data Scientist, 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.

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).
● working closely with 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”​.

What we are looking for

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 programing
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.

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.

Cultural fit

● Do things only once. No repetitive task survives to ingeniosity and automation: at Scibids,
everything needs to scale!
● Base your decisions on data points. Preconceived personal convictions rarely survive
thorough confrontation with actual data.
● Work in team and be curious​. Every Scibids member has stock-options and is focused on
the same objective: make Scibids the next adtech unicorn! This means being interested in
how one’s daily personal work fits in Scibids general strategy and having in mind the greater
good of the company rather than individual accomplishments.
● Have a good laugh​. We are a young, hard-working team with huge ambitions: nothing wipes
off long hours of work better than a good beer with the guys!

Recruitment Process

Screening interview (30min)
Technical interview (one afternoon)
Founder's interview (2h)

Additional Information

·  Contract type: Full-Time
·  Start date: 05 April 2018
·  Location: Paris, France (75013)
·  Education Level: Master's Degree
·  Experience Level: > 6 months