Marketing Data Science Manager

Responsibilities

• 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 norm
• Set 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 channels
• Own the marketing experimentation process and set standards for test design, statistical rigor, and decision-making
• Lead the development of measurement frameworks that combine marketing mix modeling, attribution, and incrementality testing into a coherent view of channel and brand effectiveness
• Oversee 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 priorities
• Partner with data engineering, machine learning, and software engineering teams to build scalable, reusable data products
• Stay hands-on in the most important technical work, including modeling, analysis, and code review, while gradually shifting time toward team leadership
• Keep the team ahead of changes in data privacy, marketing platform measurement, and AI-driven search and advertising
• Marketing measurement: attribution, marketing mix modeling, incrementality and geo-lift testing, value estimation, and user LTV
• Experimentation: the end-to-end marketing experimentation lifecycle, from test design and power analysis to execution, analysis, and readouts

Requirements

• Experience leading or mentoring data scientists or analysts in a team setting, with a track record of helping people grow and do their best work
• Hands-on experience with statistical inference, experimentation, and causal inference — including A/B testing, geo experiments, and incrementality measurement
• Experience with marketing measurement methods such as marketing mix modeling, attribution, and LTV modeling
• Experience in analytics for at least one of paid search/PPC, SEO, or brand/upper-funnel media, and the curiosity to build depth across the others
• Strong Python and SQL skills, with experience building and deploying models in a production or near-production environment
• The ability to communicate technical work clearly to marketing, product, and business partners who may not have a data science background
• A collaborative, non-hierarchical, and humble leadership style

Preferred

• Experience with econometric modeling, Bayesian methods, or causal modeling
• Familiarity with web analytics and user journey or funnel analysis
• Experience in online travel, e-commerce, or another performance-marketing-driven business
• Familiarity with open-source marketing mix modeling tools (e.g., Meridian, Robyn, PyMC-Marketing)
• Experience measuring traffic from AI search and LLM-driven channels

Benefits

• Work from (almost) anywhere for up to 20 days per year
• Focus on mental health and well-being: - Company-paid therapy sessions through SpringHealth - Company-paid subscription to HeadSpace
• Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
• No meeting Fridays
• Paid parental leave
• Generous paid vacation + time off for your birthday
• Paid volunteer time
• Focus on your career growth: - Development Dollars - Leadership development - Access to thousands of on-demand e-learnings
• Travel Discounts
• Employee Resource Groups