Data Scientist (m/f/x)
Team: Tech
Location: Germany
Commitment: Full Time
Workplace Type: remote
Salary:
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.
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