About DV & Scibids

"DV Scibids" is a global leader in AI-powered digital campaign activation. Scibids' solutions empower global brands to effectively boost ad performance and outcomes while improving operational efficiency and reducing manual lift. DoubleVerify technology does not rely on digital identifiers such as cookies and can be activated across leading Demand-Side Platforms such as The Trade Desk, DV360, and Xandr to mention a few. To learn more visit https://doubleverify.com/scibids-ai/

DV Scibids' AI Optimisation technology equips these trading desks with machine learning solutions which use real-time performance data to discover the optimal amount to bid for each advertising opportunity, thus delivering the final advertisers significant lifts in performance and productivity. The technology developed by Scibids is rooted in a solid scientific and market expertise and now has a team of 20+ Data Scientists based in our Paris office, working alongside DV's global engineering and data science org.

About the Role

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

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!

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”.

Qualifications

Minimum qualifications:

• MS degree in applied mathematics (e.g., statistics, probabilities, operations research, machine learning).
• Internship experience in Data Science with Python/C++
• Passion for automation and data-driven decisions

Preferred qualifications:

• Professional/academic experience in a SQL-like language.

Technical stack relevant to the position

• Python
• SQL
• Kubernetes, Docker, Github
• Google Cloud Environment, App Engine Standard, Cloud SQL, Google Cloud Datastore...
  
  

Cultural fit

• Do things only once. No repetitive task survives ingenuity 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 a 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 sharing a drink with the team!
  
  

Others

• Contract type: full-time position (French “CDI”).
• Based in Paris (75008) – Champs-Elysées
• Preferred availability: ASAP
• Compensation: competitive package including fix salary.
• Exact figures depend on profile.

#Hybrid