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# Marketing Data Science Manager

- **Company:** Kayak Europe
- **Location:** Somerville, MA, United States
- **Salary:** $160,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Code Review, Information Engineering, Python (Programming Language), Machine Learning, Marketing Information Systems, Open Source Technology, Standard Sql, Search Technologies, Software Engineering, Web Analytics, Large Language Models, Machine Learning Operations
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/7_D41ABE61140A2E4888153652889DD007

## About the Role

productsStay hands-on in the most important technical work, including modeling, analysis, and code review, while gradually shifting time toward team leadershipKeep the team ahead of changes in data privacy, marketing platform measurement, and AI-driven search and advertisingPlease apply if you have:Experience leading or mentoring data scientists or analysts in a team setting, with a track record of helping people grow and do their best workHands-on experience with statistical inference, experimentation, and causal inference - including A/B testing, geo experiments, and incrementality measurementExperience with marketing measurement methods such as marketing mix modeling, attribution, and LTV modelingExperience in analytics for at least one of paid search/PPC, SEO, or brand/upper-funnel media, and the curiosity to build depth across the othersStrong Python and SQL skills, with experience building and deploying models in a production or near-production environmentThe ability
to communicate technical work clearly to marketing, product, and business partners who may not have a data science backgroundA collaborative, non-hierarchical, and humble leadership styleNice to have:Experience with econometric modeling, Bayesian methods, or causal modelingFamiliarity with web analytics and user journey or funnel analysisExperience in online travel, e-commerce, or another performance-marketing-driven businessFamiliarity with open-source marketing mix modeling tools (e.g., Meridian, Robyn, PyMC-Marketing)Experience measuring traffic from AI search and LLM-driven channelsA note on qualifications: We have intentionally not listed a required degree field or a minimum number of years of experience.
We value demonstrated skills, curiosity, and impact over credentials.
Candidates from non-traditional backgrounds - including those who are self-taught, have taken non-linear career paths, or are returning to the workforce - are warmly encouraged to apply.Benefits and PerksWork from (almost) anywhere for up to 20 days per yearFocus on mental health and well-being:Company-paid therapy sessions through SpringHealthCompany-paid subscription to HeadSpaceCompany-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)No meeting FridaysPaid parental leaveGenerous paid vacation + time off for your birthdayPaid volunteer timeFocus on your career growth:Development DollarsLeadership developmentAccess to thousands of on-demand e-learningsTravel DiscountsEmployee Resource GroupsCompetitive retirement and health plansFree lunch 2 days per weekFun quarterly events such as boat trips, arcades, ski trips, Thursday happy hours, and moreCOMPENSATION There are a variety of factors that go into determining a
salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required.

## Description

allocation, and forecastingIn this role you will:Lead, coach, and develop a team of data scientists - setting goals, supporting each person's career growth, and creating an environment where curiosity and ownership are the normSet the team's roadmap and priorities in line with company goals, focusing on the work with the most impact across SEM, SEO, brand, and other channelsOwn the marketing experimentation process and set standards for test design, statistical rigor, and decision-makingLead the development of measurement frameworks that combine marketing mix modeling, attribution, and incrementality testing into a coherent view of channel and brand effectivenessOversee analytics for paid search, SEO, brand media, and user journey and landing page performance - and turn that analysis into clear recommendations on budget allocation, channel strategy, and test prioritiesPartner with data engineering, machine learning, and software engineering teams to build scalable, reusable data