TL;DR

Data Scientist (Optimization): Developing and optimizing short-term trading asset scheduling models for a new in-house platform with an accent on mathematical modeling and asset performance monitoring. Focus on driving innovation, implementing scalable automation, and ensuring operational stability of models in a fast-paced trading environment.

Location: Hybrid in Rotterdam, Netherlands, with a required presence of 40% at the office, 40% from home, and 20% flexibly. Occasional work abroad (within approved countries) up to 3 weeks/year is possible with manager approval.

Salary: €86.000–€120.000 Gross annual salary

Company

%hirify_global% is a frontrunner in the energy transition, integrating new sustainable energy sources and innovative ways of storing and managing energy within its international trading division.

What you will do

Optimize energy asset dispatch, including batteries and diverse energy assets, through mathematical modelling using Gurobi.
Drive innovation and continuously improve modelling to maintain a market advantage.
Design and implement monitoring frameworks for asset performance based on real-time data.
Translate contracts and market opportunities into robust mathematical models.
Collaborate with Business and Tech teams to develop and improve models in a reliable and scalable manner.
Ensure operational stability in collaboration with traders, Tech, product managers, and dispatchers.

Requirements

A quantitative MSc or equivalent experience in Computer Science, Mathematics, Statistics, Econometrics, Physics, or a related quantitative field.
Around 5 years of experience in data science roles, with a plus for prior experience in the energy sector or trading.
Experience with building and deploying scalable trading and/or optimization algorithms in the cloud.
Strong background in Python development, focusing on modular, clean code with unit tests and proper monitoring.
Ability to understand business problems and translate them into robust data-driven solutions.
Experience with SQL databases, Databricks, and streaming data.
Familiarity with Azure Cloud, Gurobi, Kubernetes, Databricks, Airflow, and Snowflake.
Strong command of English is required.

Culture & Benefits

Gross annual salary between €86.000 and €120.000, including FlexBudget and 8% holiday allowance.
FlexBudget allows for payouts, extra holiday days, or saving options.
Commitment to personal and professional development.
Hybrid working model: 40% office, 40% home, 20% flexible.
Opportunity to work up to 3 weeks/year abroad (max 2 consecutively) with manager approval.
Work in a sustainable company striving for a smarter, cleaner, and more livable world.