Data Analyst Intern

About the company:

"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

"Scibids DoubleVerify" Technology equips these trading desks with an artificial intelligence software computing the optimal amount to bid for each advertising opportunity, thus bringing the final advertisers dramatic performance and productivity uplifts. The technology developed by Scibids is rooted in a solid scientific and market expertise.

What you will do & what we offer

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

As a Data Analyst, your role will be to develop the right tools to leverage massive amounts of data, turning it into a valuable asset for the business. You will be navigating between operations, data & product to understand where we can bring value and implement it. 

This position will combine the ability to understand data, relentless curiosity (“Sherlock” mindset), strong understanding of business priorities and an ambition for your work to become a real game changer! 

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

• Helping business and product quantify, measure and communicate on Scibids product with data-backed assets
• Creating the right tools to scale our analysis capacities, following our “do things only once” philosophy
• Participating in building our data-lake to enhance our analytical capabilities and facilitate dashboarding and data-access speed

Qualifications

Minimum qualifications:

• Master degree from a top engineering or business French school or top foreign universities.
• Knowledge of Python & SQL
• Github
• Ability to extract from a dataset relevant insights

Preferred qualifications:

• Professional experience in cloud environment (GCP, Azure, AWS)
• 6  months+ experience in adtech

Technical stack relevant to the position

• Python
• Google BigQuery

• Dashboarding (Looker) or any relevant dashboarding tool

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. 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)
• Preferred availability: ASAP. We will however meet you even if you are not free right now
• Compensation: competitive package including fix salary + stock options. Exact figures depend on profile.

• Exact figures depend on profile.