Hybrid Data Scientist

Posted 5 hours ago

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About the role

  • Data Scientist responsible for training models and developing algorithms to boost AI search visibility for brands. Collaborate closely with engineering to integrate ML solutions in a fast-growing startup environment.

Responsibilities

  • Train, test, and ship models that power Peec AI’s recommendations - helping customers boost their visibility in AI search
  • Develop algorithms that extract actionable insights from AI search behavior, creating data-driven recommendations that help brands increase their AI Search visibility
  • Own the full model lifecycle from experimentation to production deployment, working closely with engineering to integrate ML solutions into our systems
  • Design and implement data pipelines to ingest, process, and analyze large volumes of data

Requirements

  • Proven backend development skills in Python with experience building APIs, data pipelines, or ML infrastructure, and familiarity with tools like FastAPI, Docker, and cloud platforms (preferably GCP)
  • Deep curiosity about how LLMs work, with the ability to reverse-engineer AI search behavior and translate patterns into actionable product features
  • Track record of taking projects from research to production in a fast-moving startup environment, with strong problem-solving skills and comfort working with ambiguous, evolving problems
  • Excellent communication skills with the ability to explain complex technical concepts to customers and stakeholders

Benefits

  • Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups
  • Regular team events and off-sites
  • Aggressive equity compensation package
  • Paid Uber Eats & Uber home when working late
  • The most beautiful office space and work environment in Berlin
  • Hybrid (minimum three days in the office)

Job title

Data Scientist

Job type

Experience level

Junior

Salary

€100,000 - €150,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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