Kayak Europe
Las Vegas, NevadaData Science Manager
About the role
Overview
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As Data Science Manager at KAYAK, you lead the Concord data science team to solve AdTech, auction, and experimentation challenges. You set strategy, mentor senior scientists, and shape scalable ML solutions that boost user experience and business outcomes. You drive rigorous experimentation and collaborate across product, engineering, and operations. This role offers impact at scale within a mission to improve decision-making through data-driven insights.
Compensation / Benefits
• Work from almost anywhere
• SpringHealth therapy
• HeadSpace subscription
• No meeting Fridays
• Paid parental leave
• Generous vacation and floating holidays
Responsibilities
• Define strategy and roadmaps for AdTech/Auction and the shared Experimentation Platform, aligning with business goals and long-term tech direction
• Lead and develop a high-performing Concord Data Science team, fostering autonomy and accountability
• steer modeling, experimentation, and ML direction, contributing hands-on where impactful
• Evolve the Experimentation Platform to ensure scalable, shared capabilities with clear ownership
• Translate business challenges into measurable ML outcomes and productionize solutions
• Champion rigorous experimentation and data-driven decision making for reliable insights
• Collaborate with Data Science, Product, Engineering, and Operations to manage dependencies and drive initiatives from concept to production
Key requirements
• Strong foundations in statistics, machine learning, software engineering, and systems design
• Proven track record of delivering impactful ML solutions in production environments
• People leadership experience including hiring, coaching, and performance management
• Ability to navigate across xklufbp organizational boundaries and drive outcomes through collaboration
• Ownership mindset with systems thinking and ability to balance costs, reliability, and risk
• Fluency with AI-assisted workflows and critical evaluation of tools and outputs
• Curiosity, humility, and collaborative mindset
• Bonus: familiarity with PyTorch, Polars, CometML, Arize, Docker, Airflow, Trino, Git/Github
• leadership and team mentorship
• cross-functional collaboration
• excellent communication with stakeholders
• Statistics
• Machine Learning
• Software Engineering