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 & outcomes while improving operational efficiency & reducing manual lift. DoubleVerify technology does not rely on digital identifiers such as cookies & can be activated across leading Demand-Side Platforms such as The Trade Desk, DV360, & 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 & productivity. The technology developed by Scibids is rooted in a solid scientific & market expertise & now has a team of 20+ Data Scientists based in our Paris office, working alongside DV's global engineering & 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 & improve "Scibids DoubleVerify" bidding algorithms, which are Scibids main asset, & to actively participate into Scibids automation & 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 & experience in implementing them.

This position will combine high development standards, a relentless curiosity, a strong understanding of business priorities & 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) & 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 & customer success team & help identify the business cases where a new algorithm is needed/existing ones need improvement.
• identify & 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 & 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 & 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 & be curious. Every Scibids member has stock-options & is focused on the same objective: make Scibids the next adtech unicorn! This means being interested in how ones daily personal work fits in Scibids general strategy & 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-Elyses
• Preferred availability: ASAP
• Compensation: competitive package including fix salary.
• Exact figures depend on profile.

#Hybrid