Senior Marketing Scientist

About the role

Join our Marketing Analytics team as a Data Analyst, where your mission is to transform data into strategies that fuel growth. You'll apply advanced analytics and AI to influence CLV, CAC, and revenue outcomes. As a trusted partner to Growth Marketing, CRM, and MarTech, you'll play a pivotal role in shaping how we scale efficiently in competitive markets.

What you'll do

• Design, run, and improve measurement frameworks (attribution, MMM, incrementality tests, brand trackers). Use their insights to drive test-and-learn plans and guide strategic decisions on budgeting, channel mix, and retention.
• Apply advanced statistical and predictive techniques, turning complex data into clear recommendations that directly influence marketing decisions to maximize CLV and reduce CAC.
• Partner closely with Growth Marketing, MarTech, CRM, Finance, and Analytics Engineering to ensure data quality, model accuracy, and scalable implementation of insights.
• Translate analytical findings into compelling narratives, dashboards, notebooks, decks, and recommendations, that drive decisions across Marketing.
• Communicate insights clearly and persuasively, driving alignment across stakeholders and ensuring data-driven decisions are widely adopted.
• Build and utilize AI-native analytics workflows (e.g. agentic data exploration, LLM-assisted causal analysis) and bring them into team practice.

What you'll need

• 2+ years in Marketing Analytics and Data Modeling, ideally in B2C acquisition and retention.
• Hands-on with attribution models, MMM, incrementality testing and campaign performance analysis across digital paid channels (search, social, programmatic) and CRM. Exposure to offline/brand measurement (TV, CTV, podcast) is beneficial.
• Hands-on expertise in statistical modeling and machine learning (e.g. regression, Bayesian methods, classification, clustering, forecasting), with experience in causal inference and experimentation design applied to marketing use cases such as CLV prediction, demand forecasting and pricing elasticity models.
• Advanced SQL for data manipulation, Python for statistical analysis and predictive modeling, experience with dbt for data modeling and Looker (or similar BI tools) for dashboarding and reporting.
• Strong ability to extract insights and connect them to CAC, CLV, and retention outcomes, guiding acquisition and retention strategies.
• Skilled at distilling complex data into actionable insights for both technical and non-technical stakeholders, with experience influencing senior leaders.
• Proactive, outcome-driven, and comfortable owning analyses from data pipeline to business recommendation that drives measurable business impact.
• Practical experience applying AI-driven solutions such as prototyping with LLMs (e.g. Claude Code, Gemini CLI), automating workflows (e.g. LangChain, n8n), using AI-powered IDEs (e.g. Cursor) to accelerate coding and analysis, or enhancing marketing analytics processes.

What they offer

• Free mental health coaching sessions and yoga.
• Monthly allowance for services, flexible and rollover eligible.
• Employee stock options for all employees.
• 30 annual vacation days and flexible working hours.
• Work from abroad for up to six weeks every year.
• Free tax declaration filing through the Taxfix app.