Who we are
DoubleVerify is a big data analytics company, which went public in April 2021 (NYSE: DV). We track & analyze tens of billions of ads every day for the biggest brands in the world like Nike, AT&T, Disney, Vodafone, & most of the Fortune 500 companies, if youve 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 & over 1M RPS at peak. We process events in real-time at low latencies (ms) to help our clients make decisions before, during & 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 & measure the viewability & users engagement throughout the ads lifecycle.
We are a global company, with R&D centers in Tel Aviv, New York, Helsinki, Berlin, Ghent & San Diego. We work in a fast-paced environment & have a lot of challenges to solve. If you like to work in a huge scale environment & want to help us build products that have a huge impact on the industry, & the web - then your place is with us.
What will you do
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You will generate insights into user attentiveness & provide data-driven recommendations that help major brands optimize their ad media spend strategies, maximizing ROI & overall campaign performance.
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You will build a vision & lead the ideation of new innovative solutions, then translating them into algorithmic proof-of-concepts that lay the foundation for future products.
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You will work closely with product & engineering teams to plan & prioritize initiatives, ensuring alignment on goals & clarity on progress & challenges.
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You will design & build large-scale ML pipelines to predict user interactions with ads, capturing user behavior during playback & probable measures of attentiveness.
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You will drive multiple data initiatives in parallel, balancing innovation with the maintenance of existing ML pipelines & the delivery of new ones.
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You will lead & grow a team of multi-skilled engineers & data scientists, recruiting top talent, mentoring individuals, & guiding them to deliver impactful solutions.
Who you are
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BSc or higher in Computer Science/Math/Statistics/Electrical Engineering or similar.
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5+ years proven experience developing ML solutions from research to production.
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3+ years experience in managing a DS team & leading Data Science/ML projects.
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Experience with building ML models & data pipelines on tabular data, in large scales.
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Experience with distributed processing with Spark, Flink or similar technologies.
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Strong experience working with Python, tools & libraries such as Pandas.
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Strong communication skills.
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Experience with visualization methods & tools.
Nice to have
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MSc in a relevant discipline
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Experience with Databricks & MLflow
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Previous experience with online advertising
#Hybrid#
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