Manager, Data Science & Research

  Who we are DV is the leader in digital performance solutions, helping our advertiser and agency partners verify the quality of their digital campaigns, Optimise to improve performance and Prove that they’re achieving their business outcomes, through unbiased 3rd party data and analytics. DV’s mission is to be the definitive source of transparency and data-driven insights into the quality and effectiveness of digital advertising for the world’s largest brands, agencies, publishers, and digital ad platforms.  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 advertising ecosystem, helping to build a better industry.

Learn more at www.doubleverify.com.   What you will do You will lead a team of experienced Data Scientists while remaining deeply involved in the technical work. This is a hands-on leadership role (~70% hands-on) combining direct modeling work with ownership of team direction and execution. You will work on core systems that operate at a massive scale, where: Data is abundant, but labels are scarce and expensive problems are long-tail and ambiguous Systems must meet strict latency and cost constraints (pre-bid) Your responsibilities include: Lead development of content classification systems across social platforms (Meta, TikTok, YouTube), web, and apps Design and build models across computer vision, NLP, and multimodal pipelines Own the full lifecycle: data selection -> labeling strategy -> training -> evaluation -> deployment Develop strategies for efficient data curation and labeling (active learning, auto-labeling, sampling under scale) Improve model quality (precision/recall) while balancing cost, latency, and scale Drive automation systems (auto-labeling, auto-curation, retraining loops) Apply modern AI approaches (LLMs, embeddings, foundation models) to real production problems Lead and mentor a team of senior Data Scientists, setting technical direction and pushing execution forward Work closely with ML Engineering, Product, and Policy to translate ambiguous requirements into scalable systems Who you are 3+ years of experience leading Data Science / ML teams 6+ years of hands-on experience in Machine Learning / Deep Learning Strong background in Computer Vision and/or NLP Experience building and deploying production ML systems at scale Strong understanding of real-world trade-offs (accuracy, cost, latency) Technical requirements Hands-on experience with deep learning frameworks (PyTorch / TensorFlow) Experience with ML/DS tools (scikit-learn, OpenCV, HuggingFace, etc.) Experience working with large datasets and model evaluation pipelines   Advantages Experience with multimodal systems (vision + text + audio) Experience with LLMs / embeddings / foundation models Experience with AutoML, active learning, or data-centric AI #Hybrid# 

DoubleVerify is a leading software platform for digital media measurement and analytics. Our mission is to make the digital advertising ecosystem stronger, safer and more secure, thereby preserving the fair value exchange between buyers and sellers of digital media. Hundreds of Fortune 500 advertisers employ our unbiased data and analytics to drive campaign quality and effectiveness, and to maximize return on their digital advertising investments – globally.