Manager, Data Science & Research

About the role

As the Manager of Data Science & Research at DoubleVerify, you will play a role in guiding a skilled team of Data Scientists while actively engaging in technical tasks. This position requires a hands-on approach, where approximately 70% of your time will be dedicated to direct modeling and technical contributions, alongside overseeing team objectives and project execution. You will be working on critical systems that handle vast amounts of data, often facing challenges related to scarce labeling and ambiguous long-tail problems. Your focus will also include ensuring that these systems adhere to strict latency and cost constraints, particularly in pre-bid scenarios.

Key facts

What you'll do

• Lead the development of content classification systems across various social media platforms, including Meta, TikTok, and YouTube, as well as across web and mobile applications.
• Design and construct models that encompass computer vision, natural language processing (NLP), and multimodal processing pipelines.
• Take ownership of the entire lifecycle of model development, which includes data selection, labeling strategy formulation, training, evaluation, and deployment.
• Formulate strategies for effective data curation and labeling, employing techniques such as active learning, auto-labeling, and sampling at scale.
• Enhance model quality by optimizing precision and recall while maintaining a balance between cost, latency, and scalability.
• Drive the development of automation systems, including auto-labeling, auto-curation, and continuous retraining loops.
• contemporary AI methodologies, such as large language models (LLMs), embeddings, and foundation models, to tackle real-world production challenges.
• Mentor and lead a team of senior Data Scientists, establishing technical direction and ensuring effective execution of projects.
• Collaborate closely with Machine Learning Engineering, Product, and Policy teams to translate vague requirements into and scalable systems.
• Stay updated with industry trends and advancements in data science and machine learning to continuously improve team capabilities and project outcomes.

Requirements

• A minimum of 3 years of experience in leading Data Science or Machine Learning teams, demonstrating strong leadership capabilities.
• At least 6 years of hands-on experience in the fields of Machine Learning and Deep Learning, showcasing a solid technical foundation.
• A background in Computer Vision and/or Natural Language Processing, with practical applications in production environments.
• Proven experience in building and deploying machine learning systems at scale, with a focus on real-world applications.
• A comprehensive understanding of the trade-offs involved in model development, including accuracy, cost, and latency considerations.
• Proficiency with deep learning frameworks such as PyTorch and TensorFlow, showcasing your technical expertise.
• Familiarity with machine learning and data science tools like scikit-learn, OpenCV, and HuggingFace, demonstrating a broad skill set.
• Experience in managing large datasets and executing model evaluation pipelines effectively.

Nice to have

• Experience with multimodal systems that integrate vision, text, and audio, enhancing the versatility of your skill set.
• Familiarity with large language models, embeddings, and foundation models, indicating an advanced understanding of contemporary AI techniques.
• Knowledge of AutoML, active learning, or data-centric AI methodologies, showcasing your innovative approach to data science.
• Background in developing solutions that enhance data labeling efficiency and accuracy through automation.

Skills & tools

• Proficient in programming languages such as Python, with a strong focus on libraries relevant to data science and machine learning.
• Experience with data visualization tools and techniques to effectively communicate insights and findings.
• Familiarity with cloud platforms (e.g., AWS, Google Cloud) for deploying machine learning models and managing data.
• Strong analytical and problem-solving skills, enabling you to tackle complex challenges in data science.
• Effective communication skills to collaborate with cross-functional teams and articulate technical concepts to non-technical stakeholders.
• A passion for continuous learning and staying abreast of advancements in the fields of data science and machine learning.

Practical notes

• The position is based in Tel Aviv, Israel, and requires a full-time commitment to the role.
• The salary for this position will be competitive and commensurate with experience, reflecting the importance of the role within the organization.
• Visa sponsorship may be available for qualified candidates who require work authorization to work in Israel.
• Candidates should be prepared to provide examples of past projects and experiences that demonstrate their capabilities in leading data science initiatives and delivering impactful results.

Join DoubleVerify and be part of a team that is at the forefront of digital performance solutions, helping to ensure the quality and effectiveness of digital advertising for leading brands and agencies worldwide. Your expertise will contribute to building a better advertising ecosystem through transparency and data-driven insights.