Logo for FINN

Data Scientist (m/f/x)

Role overview

Qualifications

  • Master's degree in a relevant data field (e.g., Industrial Engineering, Data Science, Statistics, Applied Mathematics); PhD is a plus.
  • 3+ years of professional experience in operations-heavy environments (logistics, supply chain, mobility, or e-commerce fulfillment).
  • Proven track record in data and time-series analysis, statistical modelling, and implementing forecasting and optimization models from scratch.
  • Experience integrating AI tools (e.g., Claude, Cursor) into daily analytics workflow to write code, explore data, and ship work.

Responsibilities

  • Generate data-driven insights: Perform in-depth data analyses to understand operational patterns, capacity dynamics, and resource utilization, delivering actionable insights that drive efficiency improvements.
  • Build and validate proof-of-concepts: Develop POCs for innovative operational strategies, test and validate their impact on key performance metrics.
  • Design and own advanced optimization models: Create and maintain forecasting and optimization models using machine learning and operations research techniques to ensure scalable and efficient operations.
  • Shape and evolve operational strategy: Leverage your analytical expertise to refine and enhance FINN's operational processes, ensuring alignment with growth targets and business objectives.

About the company

FINN logo

FINN

Internet

At FINN our mission is to drive change for people, organizations and the planet through frictionless mobility: We help everyone who loves driving their own car but refuses the struggle, commitment and intransparent costs associated with car ownership. We achieve this by offering all-inclusive, immediately available, monthly car-subscriptions. Best thing, yet: FINN provides a more sustainable mobility option through funding climate protection projects.

Company details

Company typeSME
IndustryInternet
Company size201 - 500

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

About FINN
 
FINN is an independent platform for car subscriptions from over 30 brands. Subscribe to a car with just a few clicks and it will be delivered directly to your doorstep in just a few days: FINN offers a carefree service and handles insurance, financing, registration, taxes and maintenance. FINN also funds climate action by supporting certified climate protection projects and thus offsets the carbon footprint of every vehicle of all drive types – from production to every mile driven. 
FINN was founded in Munich in 2019. The mission: to have a positive impact on people, organizations and the planet through frictionless mobility.
More Information: www.finn.com/
 
Your Role 
 
As a Data Scientist in Operations, you will be at the forefront of optimizing how FINN manages and scales its operational infrastructure. You will leverage advanced forecasting and optimization models to predict capacity needs, drive efficient resource distribution, and solve operationally critical challenges that directly impact the business. Your work will uncover hidden patterns, validate the impact of operational strategies, and deliver actionable recommendations to the operations team. This role is perfect for a proactive problem solver who thrives at the intersection of data science and logistics, and is passionate about turning operational complexity into scalable, data-driven solutions. We’ve fully embraced AI-assisted development to amplify our impact, and we’re looking for a teammate who is excited to build and innovate using modern, AI-driven workflows too.

Why FINN?
  • With massive growth potential, FINN allows you to quickly develop and succeed in a highly motivating startup environment with ambitious challenges in cross-functional teams.
  • Competitive fixed salary and virtual equity share of the company, along with a yearly personal development budget of 1,500€ and an attractive company pension scheme.
  • Visa and relocation support for you and your family.
  • Flexible working hours, Kindergarten allowance (up to 300€ per child per month).
  • Access to discounted gym memberships and a range of attractive mobility benefits – from exclusive deals on FINN cars to other flexible commuting options.
  • An open-minded community to be welcomed from day one and fun team events with amazing colleagues.

  • Your Responsibilities
  • Generate data-driven insights: Perform in-depth data analyses to understand operational patterns, capacity dynamics, and resource utilization, delivering actionable insights that drive efficiency improvements.
  • Build and validate proof-of-concepts: Develop POCs for innovative operational strategies, test and validate their impact on key performance metrics.
  • Design and own advanced optimization models: Create and maintain forecasting and optimization models using machine learning and operations research techniques to ensure scalable and efficient operations.
  • Shape and evolve operational strategy: Leverage your analytical expertise to refine and enhance FINN's operational processes, ensuring alignment with growth targets and business objectives.
  • Collaborate: Partner with other data and tech teams as well as operations stakeholders in a cross-functional setup and align your work with business objectives.

  • Your Profile
  • Graduated with a Master's degree in a relevant data field of study (e.g., Industrial Engineering, Data Science, Statistics, Applied mathematics), a PhD is a plus.
  • 3+ years of professional experience in operations-heavy environments (preferably logistics, supply chain, mobility, or e-commerce fulfillment).
  • Technical expertise: Proven track record in data and time-series analysis, statistical modelling, and implementing forecasting and optimization models from scratch.
  • Proven experience integrating AI tools (e.g., Claude, Cursor) into your daily analytics workflow to write code, explore data, and ship work.
  • Proficient in Agentic development.
  • Proficient in the data stack: SQL, Python, GCP.
  • Operations & optimization expertise: Experience in building and deploying capacity planning, resource allocation, or logistics optimization solutions end-to-end.
  • Stakeholder engagement: Skilled at presenting technical concepts to non-technical audiences, including C-level.
  • Problem-solving: Exceptional ability to break down complex operational problems and develop data-driven solutions.
  • Flexibility: Comfortable working in a fast-paced environment and adapting to changing priorities – operations doesn't wait.
  • Fluent in English. German is a plus.
  • Interested in Joining Our Fast-Growing Startup? 
    Please upload your CV and transcripts online. Alex and Anna are looking forward to your application!
     
    Equal Opportunities for Everyone
    FINN is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive environment for all employees. We are open to all groups of people without regard to age, color, national origin, race, religion, gender, sex, sexual orientation, gender identity and/or expression, marital status, or any other legally protected characteristics.

    Apply once. Then go straight to the hiring manager.

    After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
    Unlocked after you apply
    ·

    Data Scientist Related jobs

    Other jobs at FINN

    Premium

    Reach out to the hiring manager directly.

    Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

    • Full match report with fit score and gaps
    • Career diagnostics on how recruiters read you
    • Curated company matches and warm intros
    • 48h early access to new roles

    Cancel anytime.