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Salary: USD 165,000 - 200,000 / annual
KAYAK, part of Booking Holdings, is seeking a Data Science Manager to lead its Concord-based data science team. This is a senior, hands-on leadership role where you'll manage experienced Data Scientists, set technical direction, and drive key architecture decisions while remaining directly involved in solving complex modeling and experimentation problems.
The team owns applied Data Science for AdTech, auctions, and KAYAK's company-wide shared experimentation platform. You will collaborate closely with Product, Engineering, and business partners to align priorities and build scalable, measurable solutions that improve decision-making across the organization.
Key responsibilities include:
- Owning strategy and roadmaps for AdTech/Auction and the shared Experimentation Platform, aligning with business objectives and long-term technical vision
- Leading, mentoring, and growing a high-performing team of experienced Data Scientists, fostering technical excellence, autonomy, and accountability
- Driving technical direction across modeling, experimentation, and ML solutions, providing guidance and contributing hands-on work where it creates the greatest impact
- Evolving and simplifying the Experimentation Platform to ensure scalable shared capabilities and clear ownership boundaries
- Turning business challenges into measurable outcomes by guiding development, evaluation, and productionization of ML solutions
- Championing rigorous experimentation and data-driven decision-making across the organization
- Collaborating across functions to align stakeholders, manage dependencies, and drive complex initiatives from concept to production
The role offers flexibility to work remotely up to 20 days per year, comprehensive benefits including mental health support, generous paid time off, professional development opportunities, and a collaborative culture focused on innovation and continuous improvement.
Requirements:
- Strong technical foundations in statistics, machine learning, software engineering, and systems design, with a track record of solving complex, real-world problems
- Demonstrated experience delivering impactful ML solutions in production environments, with clear understanding of technical decisions, trade-offs, and business outcomes
- Meaningful people leadership experience, including hiring, coaching, performance management, and developing experienced technical talent
- Ability to lead across organizational boundaries, building alignment and driving outcomes through collaboration
- Strong ownership, judgment, and systems thinking; ability to navigate technical, cost, reliability, and risk trade-offs
- Fluency with AI-assisted workflows and modern tools
- Curiosity, humility, and collaborative mindset
Bonus qualifications:
- Hands-on experience with PyTorch, Polars, CometML, Arize, Docker, Airflow, Trino, and Git/Github
- Familiarity with Agile methodologies such as sprint planning and team ceremonies
