Team Lead, Data Science and Research

Who we are

DoubleVerify is a big data analytics company, which went public in April 2021 (NYSE: DV). We track and analyze tens of billions of ads every day for the biggest brands in the world like Nike, AT&T, Disney, Vodafone, and most of the Fortune 500 companies, if you’ve seen an online ad via Web, Mobile, or CTV device then there is a big chance that it was measured by us.

We operate at a massive scale, handling over 100B events per day and over 1M RPS at peak. We process events in real-time at low latencies (ms) to help our clients make decisions before, during and after the ad is served. We verify that all ads are fraud free, appear next to appropriate content, appear to people in the right geography and measure the viewability and user’s engagement throughout the ad’s lifecycle.

We are a global company, with R&D centers in Tel Aviv, New York, Helsinki, Berlin, Ghent and San Diego. We work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge scale environment and want to help us build products that have a huge impact on the industry, and the web - then your place is with us.

Job Responsibility

• You will build very large scale ML pipelines that will help to predict online user interactions to ads, opportunity to see ads and being attentive to ads.
• You will help big brands optimize their advertising strategy by generating user attentiveness insights that predict highly performed advertising.
• You will generate recommendations on how to spread ad media reach to boost ad campaign’s performance.
• You will be responsible for defining solutions and delivering them throughout their lifecycle including testing and monitoring while collaborating with engineering & product teams on productionizing & monitoring your solutions.
• You will conduct research, and invent, and adapt algorithmic POCs for future products.
• You will explore, implement and support multiple data initiatives and projects at the same time.
• You will lead, mentor, guide and recruit a team of experienced multi-skilled engineers including data scientists and oversee solution delivery, coordination and interfaces while communicating with product and engineering teams on prioritization, progress and challenges.

Who you are

• BSc or higher in Computer Science/Math/Statistics/Electrical Engineering or similar.
• 5+ years of proven experience developing ML solutions from research to production.
• 2+ years experience in managing a DS team and leading Data Science/ML projects.
• Experience with building ML models & data pipelines on tabular data, in large scales.
• Strong experience working with Python, tools and libraries such as PySpark, Pandas.
• Strong communication skills.
• Experience with visualization methods and tools.

Nice to have

• MSc in a relevant discipline
• Experience with Databricks
• Previous experience with online advertising