Remote Data Science Manager - Lead ML & Experimentation

KAYAK

Concord (AL)

Hybrid

USD 165,000 - 200,000

Full time

13 days ago

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Benefits offered by this job

Remote work flexibility
Mental health benefits (SpringHealth)
HeadSpace subscription
Parental leave
Generous vacation
Volunteer time
Development dollars
Leadership development
Travel discounts
Employee resource groups

Job summary

KAYAK, part of Booking Holdings, is hiring a Data Science Manager to lead the Concord data science team. You will guide ML modeling, experimentation, and platform development, partnering with Product, Engineering, and business teams to deliver measurable impact.

You will mentor experienced data scientists, shape technical direction, and foster an environment of rigorous experimentation and data-driven decision making across the organization.

Qualifications

  • Strong foundation in statistics, ML, software engineering, and systems design.
  • Experience delivering ML solutions in production with business impact.
  • Proven people leadership including hiring and coaching, with hands-on involvement.
  • Ability to lead across org boundaries and drive alignment via collaboration.

Responsibilities

  • Own strategy and roadmaps for AdTech/Auction and Experimentation Platform.
  • Lead and grow a high-performing data science team in Concord.
  • Drive modeling, experimentation, and ML solution direction and hands-on work as needed.
  • Evolve the Experimentation Platform with scalable, shared capabilities and clear ownership.

Skills

Statistics
Machine learning
Software engineering
Systems design
People leadership
Cross-functional collaboration

Education

Bachelor’s degree in a quantitative field

Tools

PyTorch
Polars
CometML
Arize
Docker
Airflow
Trino
Git/GitHub

Job description

KAYAK, part of Booking Holdings, is hiring a Data Science Manager to lead the Concord data science team. You will guide ML modeling, experimentation, and platform development, partnering with Product, Engineering, and business teams to deliver measurable impact.

You will mentor experienced data scientists, shape technical direction, and foster an environment of rigorous experimentation and data-driven decision making across the organization.

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