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14 часов Π½Π°Π·Π°Π΄

Data Scientist (Optimization)

86Β 000 - 120Β 000€
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
c1
Π‘Ρ‚Ρ€Π°Π½Π°
Netherlands
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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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.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли вас просят Π²ΠΎΠΉΡ‚ΠΈ Π² iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’