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Senior Data Scientist (m/f/d)

CompraTica Empleos

EMP:Technology
Berlin, Germany
Tiempo Completo
Remoto
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Descripción

At Flix, we offer a tech-driven environment where innovation meets real-world impact, with competitive pay, strong growth opportunities, and a culture of collaboration and ownership.

   We're looking for a motivated and skilled Senior Data Scientist to join our Team Greenrock – Demand Division.

  Our Tech team owns Flix's Revenue Management System (RMS), a production system with a direct commercial impact.

We are looking for a colleague who will play an active role in shaping the next generation of the RMS by leveraging their deep expertise in revenue management.

  This is a hands-on senior role in a non-greenfield environment: delivering meaningful change requires care, conviction, and patience.

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the Role Work closely with commercial stakeholders to translate business

Requisitos

into well-scoped projects and respond to operational inquiries

Translate revenue management theory and industry best practices into concrete, testable improvements, from idea and experimentation through to production rollout.

Co-own the evolution of the entire system through regular collaboration and discussions with peers across your team and neighboring engineering teams.

Contribute to the technical health, reliability, and observability of the existing system.

  About You Education and Revenue Management expertise (must-have) Advanced degree (Master's or PhD) in Operations Research, Mathematics, Statistics, or a related quantitative field Solid theoretical foundation in RM: demand modeling, dynamic pricing, and network revenue management.

Applied experience with RM or pricing tech solutions in transportation, travel, hospitality, retail, or a comparable domain is a big plus.

  Engineering and data craft  Strong hands-on Python (including NumPy, Polars, Pandas, SciPy) and comfort with SQL on large datasets.

Production-code experience is welcome but not required; what we expect is genuine interest in writing, reviewing, and maintaining code that runs reliably in production.

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