Data Scientist (m/f/x)

Reposted Yesterday
Be an Early Applicant
Hiring Remotely in Germany
Remote
69K-80K Annually
Mid level
Automotive • eCommerce • Transportation
We make mobility fun and sustainable.
The Role
As a Data Scientist in Operations, you will optimize operational infrastructure, utilize forecasting models, and provide data-driven insights to improve efficiency.
Summary Generated by Built In
About FINN
 
At FINN, we are building the future of mobility by making car subscriptions more seamless and sustainable than ever before. As Germany's leading platform and fastest-growing startup, we offer you the opportunity to take true ownership and scale a business that is changing how people move. You’ll be joining a high-performing team of 350+ colleagues from 50+ nations and we’re just getting started!
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.

Skills Required

  • Master's degree in a relevant data field
  • 3+ years of professional experience in operations-heavy environments
  • Proficient in SQL, Python, GCP
  • Experience in data and time-series analysis
  • Experience in building optimization models from scratch
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The Company
HQ: New York, NY
350 Employees
Year Founded: 2019

What We Do

At FINN our mission is to make mobility fun and sustainable: We help everyone who loves driving their own car but refuses the struggle, commitment and nontransparent costs associated with car ownership. We achieve this by offering all-inclusive, immediately available, monthly car-subscriptions. Best thing, yet: While you drive we plant trees as every journey is CO2 compensated.

Why Work With Us

At FINN we strive to make mobility fun and sustainable by bringing a true e-commerce experience to car ownership and offsetting all CO2 emissions along the way. Join our dynamic and fast-growing team to build the most popular auto e-commerce platform as we launch new product lines and expand internationally.

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