Sr. Manager, Data Science and Research at DoubleVerify

Tel Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

07 Feb, 26

Salary

0.0

Posted On

09 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Science, Python, Data Pipelines, Distributed Processing, Spark, Flink, Pandas, Visualization, Team Leadership, Mentoring, Algorithm Development, Real-Time Processing, Ad Optimization, User Engagement, Statistical Analysis

Industry

Software Development

Description

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. What will you do You will generate insights into user attentiveness and provide data-driven recommendations that help major brands optimize their ad media spend strategies, maximizing ROI and overall campaign performance. You will build a vision and lead the ideation of new innovative solutions, then translating them into algorithmic proof-of-concepts that lay the foundation for future products. You will work closely with product and engineering teams to plan and prioritize initiatives, ensuring alignment on goals and clarity on progress and challenges. You will design and build large-scale ML pipelines to predict user interactions with ads, capturing user behavior during playback and probable measures of attentiveness. You will drive multiple data initiatives in parallel, balancing innovation with the maintenance of existing ML pipelines and the delivery of new ones. You will lead and grow a team of multi-skilled engineers and data scientists, recruiting top talent, mentoring individuals, and guiding them to deliver impactful solutions. Who you are BSc or higher in Computer Science/Math/Statistics/Electrical Engineering or similar. 5+ years proven experience developing ML solutions from research to production. 3+ 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. Experience with distributed processing with Spark, Flink or similar technologies. Strong experience working with Python, tools and libraries such as Pandas. Strong communication skills. Experience with visualization methods and tools. Nice to have MSc in a relevant discipline Experience with Databricks & MLflow Previous experience with online advertising #Hybrid#

Responsibilities

You will generate insights into user attentiveness and provide data-driven recommendations to optimize ad media spend strategies. You will lead the ideation of new innovative solutions and design large-scale ML pipelines to predict user interactions with ads.