Data Scientist
Posted 22 Jul 2026
Advertised as “Senior Data Scientist (m/f/d)”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- Hybrid
No salary listed for this role.
Field of studyMathematics, Operations Research, Statistics (or related)
Study levelMaster's or higher
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.
About the Role
- Work closely with commercial stakeholders to translate business requirements 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.
Soft skills
- Excellent communication: you explain complex quantitative concepts or optimisation trade-offs to technical and non-technical, commercial audiences alike, and you enjoy educating and advocating for sound RM solutions.