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Senior Data Scientist (m/f/d)

Flix flix.com Open
Berlin Munich Full-time Senior Data Science

At a glance

Senior Data Science role at Flix. Berlin · full-time · no salary stated · we estimate €78,950–€105,000 across Germany.

Estimated pay

Flix has not published a salary for this role. The figure below is our estimate, not theirs.

€78,950 – €105,000
What the middle half of senior data science roles in Germany paid, among postings that did state a salary.
Worked out from 9 postings that stated pay, median €95,500. Last updated Nov 3, 2026.
RoleData Science
SenioritySenior
LocationBerlin
EmploymentFull-time
PostedJul 22, 2026
Also hiring inMunich
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Turn commercial requests into clearly bounded projects and answer operational questions from stakeholders
  • Convert revenue-management ideas into testable changes, then carry experiments through to production
  • Work with teammates and neighboring engineering groups to shape the RMS as a whole
  • Improve the reliability, technical condition and observability of the existing system

What you bring

  • A master’s or PhD in a quantitative discipline such as operations research, mathematics or another related field
  • Strong grounding in demand modeling, dynamic pricing and network revenue management
  • Hands-on Python skills, including NumPy, Polars, Pandas and SciPy, plus SQL experience with large datasets
  • Clear communication with technical and commercial audiences, alongside sound judgment about project scope and system constraints

Who this fits

This is a hands-on senior role for someone comfortable improving an established production system rather than starting from scratch. You’ll need to balance immediate fixes with longer-term system direction and explain quantitative trade-offs to different audiences. The role is based in Berlin and follows an office-first hybrid model.

From the employer

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.
  • Senior judgment: you scope your own work, balance short-term fixes with long-term direction, and respect the constraints of an existing system.

We recognize that everyone carries a unique set of valuable skills and experiences. If you think you could have an impact even though you don't meet 100% of the requirements, we still encourage you to apply. We want to hear from you! 

What We Offer

  • Travel perks: 12 free Flix vouchers + 12 discount vouchers for friends & family.
  • Work from (M)Anywhere: Depending on your role, work from another location for up to 60 days per year.
  • Hybrid work model: We are an office-first company, but we offer flexibility to balance work and life.
  • Wellbeing support: Access confidential 1:1 counselling, courses, and stress management for yourself and up to four family members.
  • Learning & Development: Take advantage of language classes, training courses, and expert-led sessions to grow your skills.
  • Mentoring Program: Connect with experienced colleagues to gain insights and accelerate your career.

To view more local benefits specific to each office location, please check out this link: Locations - Flix Career

Why Join Flix?

At Flix, we empower our teams to push boundaries and shape the future of mobility. As we continue to scale globally, we harness cutting-edge technology to make mobility smarter, more sustainable, and more affordable.

If you’re looking for a place where you can drive change and redefine how millions of people travel, Flix is the place where you can lead your journey!

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.