Role overview
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.
What you'll work on
- 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.
Tags & focus areas
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