Original listing text, shown exactly as published by the company.
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.
