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Senior Marketing Scientist

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Onsite

Senior Marketing Scientist

Taxfix

Senior Marketing Scientist

Skills

SQL QueriesLookerPythonData AnalysisAIdbtNo-code Automationsn8nCRMBudgeting

2 months ago

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Important information


Contract type:

Permanent

Location:

Berlin, Germany

Work mode:

Onsite

Published on:

13 August 2026

What they need


  • 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
  • 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

Benefits

  • A chance to do meaningful, people-centric work with an international team of passionate professionals
  • Holistic wellbeing with free mental health coaching sessions, yoga, and a discounted membership to Urban Sports Club
  • A monthly allowance to spend on home support services, including childcare, housekeeping, pet sitting, tutoring, and elderly care
  • Employee stock options for all employees—because everyone deserves to benefit from the success they help to create
  • Dedicated relocation and visa support for those that need it
  • 30 annual vacation days and flexible working hours
  • Full trust to take ownership of your work in a flat hierarchy where feedback is encouraged and expected
  • A generous learning budget to support your personal and professional development and guidance from our internal L&D experts
  • Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip
  • Plenty of opportunities to socialise as a team. In addition to internal meetups, our international team hosts regular get-togethers—virtually and in person when possible
  • Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions
  • Have a four-legged friend in your life? We’re happy to have dogs join us in the office- Deep with attribution, MMM, incrementality testing, causal inference, and experimentation design across digital paid channels (search, social, programmatic) and CRM. Exposure to offline and brand measurement (TV, CTV, podcast) is beneficial
  • Practical experience applying AI-driven solutions such as prototyping with LLMs (e.g. Claude Code, Gemini CLI), automating workflows (e.g. LangChain, n8n), and using AI-powered IDEs (e.g. Cursor) to accelerate analysis
  • Strong statistical and machine-learning foundation (regression, Bayesian methods, classification, clustering, forecasting) applied to marketing use cases such as CLV prediction, demand forecasting, and pricing-elasticity models
  • Proactive and outcome-driven, comfortable owning work end to end from data pipeline to business recommendation that drives measurable impact
  • Strong ability to connect analysis to CAC, CLV, and retention outcomes and guide acquisition and retention strategy
  • 3+ years in marketing science or marketing analytics with hands-on modeling, ideally in B2C acquisition and retention
  • Has taken models to production: reproducible pipelines, validation, and monitoring, and is comfortable partnering with Analytics Engineering on deployment. Advanced SQL and Python, with dbt for data modeling. Comfortable communicating results in BI tools such as Looker

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