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Founding Data Scientist

Berlin · Berlin, Germany

Pay
Pay not listed
Work setting
On-site — work setting source
Location type: On-site
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Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
Tech › Data › Data Science — team source
Department: Tech › Data › Data Science
From the employer’s posting

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
Do you now, or will you in the future require visa sponsorship to be legally employed in Germany? We can usually offer visa sponsorship, but it's helpful to know now so we can plan accordingly.
From the employer’s application form
Apply at Almedia

What you’ll work on

Full posting
  • Own incrementality testing across marketing, product and rewards

  • Build data pipelines and measurement stack behind experiments and attribution

  • Design, run and interpret causal experiments across growth and product

  • Own data products end-to-end, from scoping to rollout

  • Set frameworks and practices the team can scale on

From the employer’s posting
Own incrementality testing across marketing, product, and rewards
Build the data pipelines and measurement stack behind it
design, run, and interpret tests with a sharp focus on causal validity
Own data products end-to-end: scoping, architecture, implementation, rollout
Set the frameworks and practices the team can scale on

What you’ll bring

All qualifications

Core experience

  • Deep experience applying causal inference and experimental design in practice
  • Hands-on experience building and operationalising attribution models
  • Proven zero-to-one experience shipping production-ready infrastructure
  • Proficiency in Python and SQL
  • Comfortable with modern data stack tools such as dbt
Qualification wording
Deep expertise applying causal inference and experimental design in practice
Hands-on experience building and operationalising attribution models
Proven zero-to-one experience: ambiguous problem, built the infrastructure, shipped something production-ready
Proficiency in Python and SQL
comfortable with modern data stack tools (dbt)

Tools in this posting

  • Python
  • SQL
  • dbt
Source — Tool mentions in context
- Proven zero-to-one experience: ambiguous problem, built the infrastructure, shipped something production-ready. - Proficiency in Python and SQL; GCP preferred; comfortable with modern data stack tools (dbt). - Experience with programmatic advertising, ML pricing, or mobile measurement — MMPs, probabilistic attribution, or similar is a strong plus.

Posting record

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Status in our records
Live
First seen by us
Oct 6, 2026 · 23 days ago
Recorded sightings
28
Last seen by us
Oct 29, 2026
Reposted
once since Jun 2, 2026

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Job description

View original posting ↗

This isn’t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We’re aiming to become Germany’s second bootstrapped unicorn. Almedia is already Europe’s #3 fastest-growing company in 2025 (FT1000).

We are building the future of marketing by rewarding our community of over 95 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world.

Founding Data Scientist

 

We're looking for a Founding Data Scientist to work directly with leadership on zero-to-one measurement and growth problems. This is not a role for maintaining existing systems — it's for someone who can take an ambiguous, high-stakes question and build the data infrastructure to answer it reliably, then own what comes next.

We value people who combine measurement rigour with builder instincts: someone equally comfortable designing a causal experiment and shipping the pipeline that operationalises its output.

 

What You'll Do

  • Own incrementality testing across marketing, product, and rewards — proving its value from hypothesis to business impact.

  • Build the data pipelines and measurement stack behind it, tying experiments to real shifts in user behaviour, monetisation, and multi-touch attribution.

  • Drive experimentation strategy across growth and product: design, run, and interpret tests with a sharp focus on causal validity — not just p-values.

  • Own data products end-to-end: scoping, architecture, implementation, rollout.

  • Partner with C-level, engineering, and business stakeholders to turn measurement into live operational decisions.

  • Set the frameworks and practices the team can scale on.

 

What You Need

  • Deep expertise applying causal inference and experimental design in practice, in real business contexts.

  • Hands-on experience building and operationalising attribution models in a real business context — not just running models, but making them useful.

  • Proven zero-to-one experience: ambiguous problem, built the infrastructure, shipped something production-ready.

  • Proficiency in Python and SQL; GCP preferred; comfortable with modern data stack tools (dbt).

  • Experience with programmatic advertising, ML pricing, or mobile measurement — MMPs, probabilistic attribution, or similar is a strong plus.

  • Familiarity with AI and LLM tooling is a plus — whether that's integrating language models into data workflows, using AI-assisted analysis to move faster, or exploring how generative and predictive AI can sharpen measurement and personalisation at scale. We're an AI-native team and expect this role to grow alongside those capabilities.

 

You Are

  • A builder with a strong ownership mindset — you don't wait for a spec.

  • Rigorous but pragmatic: the stats matter, but the business question matters more.

  • Someone who, if they have to debug something twice, automates it.

  • A clear communicator — you can translate model outputs into decisions that non-technical stakeholders can act on.

 

Why Almedia?

  • Own Our Growth: Competitive package with meaningful equity.

  • High Impact: Work on company-defining projects, not tickets in a queue.

  • Scale With Almedia: Join a profitable, high-growth startup early.

  • Great Environment: Central Berlin office, transport subsidy, breakfasts and lunches, language learning, Urban Sports Club, and more.

 

We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.

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Berlin, Germany

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