Data Scientist II

Paris-FranceFull-TimeMid-levelAI / Data Science

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"DoubleVerify Scibids" is a global leader in AI-powered digital campaign activation. Scibids empowers global brands to drive specific KPIs and tangible outcomes more effectively 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/
Recently, DoubleVerify closed its acquisition of Scibids providing an End-to-end, comprehensive measurement and granular optimization. DoubleVerify is the recognized market innovator with the technology and tools that accurately authenticate the quality of digital media and drive ad performance for the world's largest brands. DV provides media transparency and accountability to deliver the highest level of impression quality for maximum advertising performance. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best-in-class solutions across the digital ecosystem that help build a better industry. Learn more at doubleverify.com

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 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”.

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.

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

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!