Vacancy is archived. Applications are no longer accepted.

Data Scientist Forecasting

at Eneco
MIDDLE
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Docker @ 1 Python @ 5 Airflow @ 1 CI/CD @ 1 MLOps @ 1 Data Science @ 6 Azure @ 1 Databricks @ 1 Snowflake @ 1

Details

You are situated at the heart of Eneco, right between production, sales, and trading.

Responsibilities

  • Conduct research on the impact of different weather sources on our portfolio, with an affinity for weather data such as NWP or new AI sources for short-term trading.
  • Develop and improve forecasting products based on customer requirements.
  • Act as a point of contact and sparring partner within our operations.
  • Provide proactive feedback on how to improve our short-term domain with actionable insights and close cooperation with your team members.
  • Identify, prioritize, and initiate improvements.
  • Maintain a proactive mindset to minimize imbalance and P&L risk.

Requirements

  • Strong background in meteorology and data science.
  • A minimum of 3 years of relevant work experience is required.
  • Proficiency in Python and relevant data science libraries.
  • Knowledge and experience related (or similar) to software engineering or ML engineering is a plus, with relevant concepts including: MLOps, CI/CD, software testing, and technologies such as Databricks, Airflow, Snowflake, Docker, Azure Cloud.

Benefits

  • Gross annual salary between €85.000 and €125.000, including FlexBudget, 8% holiday allowance, and depending on your role a bonus or collective profit sharing.
  • Hybrid working, 40% at the office and 40% at home. The other day you decide what works best for you.
  • Personal and professional growth opportunities.