Senior Data Scientist

Clera
Berlin, Germany
On-site

Who this role is best for

Experienced builders with agentic AI coding tools and startup experience will find this senior role in Berlin challenging and impactful. The position emphasizes production-ready work and zero-to-one environments.

Best fit for

  • Candidates with 5 to 10+ years of technical experience and startup-building background
    — “Experience as an early startup hire, ideally among the first 15 employees”
  • Individuals who thrive in environments with evolving data and ambiguous problems
    — “comfort working with ambiguity and evolving data”
  • Professionals with daily experience in agentic AI coding tools
    — “Daily experience with agentic AI coding tools such as Claude Code, Cursor, or similar”

Things to consider

  • The role demands a high tolerance for a demanding startup environment in Berlin
    — “comfortable with a highly demanding startup environment”
  • Relocation is possible but may be a significant commitment for non-Berlin-based candidates
    — “Based in Berlin or willing to relocate”

How to stand out

  • Highlight your ability to build from zero-to-one and deliver production-ready models
    — “turn ambiguous problems into practical, production-ready work”
  • Emphasize your hands-on use of agentic AI coding tools in your current role
    — “Use agentic AI coding tools in your day-to-day technical work”
Pace · Fast PacedCollaboration · MediumAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • develop and deploy machine learning solutions
  • build forecasting and optimization models
Typical background
5-10+ years of technical experience in machine learning or quantitative background

Skills & requirements

Required

Machine LearningData ScienceAgentic AI Coding Tools

Preferred

Early Startup Experience

Stack & domain

Machine LearningData ScienceAgentic AI Coding ToolsClaude CodeCursorStartup EnvironmentForecastingOptimizationQuantitative ModelsProduction-focused Technical SkillsAmbiguityEvolving DataAIMLRetail Supply Chains

About the role

Original posting from Clera via Ashby

ABOUT THE ROLE

Join an early-stage AI/ML team building data-driven solutions for retail supply chains. This role is suited to a technically strong, quantitatively minded builder who can turn ambiguous problems into practical, production-ready work.

WHAT YOU'LL DO

  • Develop and deploy machine learning and data science solutions for operational problems.
  • Work with complex data to build forecasting, optimization, or other quantitative models.
  • Use agentic AI coding tools in your day-to-day technical work and contribute in a fast-moving startup environment.

WHAT WE'RE LOOKING FOR

  • 5 to 10+ years of technical experience, with an engineering, machine learning, or quantitative background; a data science title is not required.
  • Strong quantitative foundations, such as a rigorous mathematics or other quantitative degree from a highly selective university, or equivalent depth.
  • Daily experience with agentic AI coding tools such as Claude Code, Cursor, or similar.
  • Experience as an early startup hire, ideally among the first 15 employees, and the ability to build in a zero-to-one environment.
  • Production-focused technical skills and comfort working with ambiguity and evolving data. Retail or fresh produce experience is not required.
  • Based in Berlin or willing to relocate, and comfortable with a highly demanding startup environment.

COMPENSATION & BENEFITS

Base salary: €70,000 to €110,000 annually. Visa sponsorship is available.

LOCATION

Hybrid in Berlin, Germany. Relocation support is available.

Source: Clera careers (Ashby)

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