Senior Data Scientist, Marketing (d/f/m)
Our story
Why this role, why now?
Your challenge
Your responsibilities and decisions
- Design and run experiments as a discipline. Geo tests and incrementality studies are your primary instrument for establishing what actually drives growth. You'll focus on a full cycle from choosing the design to reading the result and turning it into a spend decision.
- Advance our steering mechanisms (regression, Bayesian inference, causal inference) turning open-ended budget questions into clear decision framework that increases CLV and reduces CAC.
- Own and advance our marketing measurement stack (attribution, MMM, incrementality testing, brand tracking) and set the standard the marketing organisation uses to make budget, channel-mix, and retention decisions.
- Build production-grade models (CLV, demand forecasting) that feed live decisions such as budget allocation and channel mix - not one-off analyses.
- Communicate results persuasively to technical and non-technical stakeholders and drive adoption of recommendations across Marketing.
- Bring AI-native analytics workflows (agentic data exploration, LLM-assisted causal analysis) into the team's everyday practice.
Must have
5+ years
in data science or analytics, ideally with exposure to marketing or growth contexts.
- Strong statistical and causal inference foundation: regression, Bayesian methods and especially
incrementality testing.
You can design a test from scratch: pick the unit of randomisation, reason about power and minimum detectable effect, and defend the runtime with more than intuition.
- Deep understanding of
marketing attribution
- not just channel mechanics. You understand what a multi-touch model can and cannot tell you and how to triangulate attribution against incrementality reads.
- Advanced
SQL and Python
Hands-on experience with AI-driven workflows
Proactive and outcome-driven
- someone who picks up a project and drives it fully, from data pipeline to business recommendation.
Nice to have
- Experience with
Marketing Mix Modelling
Machine learning
Dbt
data modelling
- Familiarity with
BI tools such as Looker
Soft skills we're looking for
Ownership and proactivity
- someone who suggests new projects and expands scope, not just executes assigned work.
- Ability to ideate and
learn quickly
in unfamiliar domains (we don't need a marketer; we need a scientist who can quickly grasp marketing measurement logic).
- Strong
stakeholder management and communication skills
- able to bridge technical results and business decisions for both analyst and executive audiences.
The team
- You will join a small, high-impact team: one senior data scientist, one mid-level data scientist, one analytics engineer, and the hiring manager. Small team, large mandate.
Why Taxfix?
- A chance to do meaningful, people-centric work with an international team of passionate professionals.
- Holistic well-being with free mental health coaching sessions.
- A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like.
- Employee stock options for all employees - because everyone deserves to benefit from the success they help to create.
- 30 annual vacation days and flexible working hours.
- 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 tech 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.
Excited? So are we. Learn more about Team Taxfix on our blog and get a glimpse of our culture.
At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves.
Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously. Find Jobs in Germany on Arbeitnow
Not included in the source posting: benefits.
Skills
Who can apply
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