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[Hiring] Senior Data Scientist @BaxEnergy

BaxEnergy Remote
Posted 1 week, 1 day ago
Full Time Mid-Level Data Science

We’re looking for a senior Data Scientist to join our growing team and tackle high-impact problems in the renewable energy space. You’ll lead end-to-end projects that apply machine learning and statistical modelling to real-world challenges such as forecasting power demand, predicting equipment failures, or optimizing energy usage.

 

Rather than looking for a domain expert in energy renewables, what we need is someone who deeply understands data, knows how to build solid models, and can write clean Python code that’s production ready. If you’ve got a strong foundation in statistics, experience with time series data, and a passion for solving meaningful problems, we’d love to meet you.

Requirements

Smart and gets things done
You are a great data scientist and can contribute to creating great data science teams
Strong background in statistics and machine learning theory. You know more than just how to fit a model, and you understand why it works.
Solid experience working with time series data and building predictive models.
Expert Python skills so that your code is efficient, maintainable, and ready for production including hands-on experience with standard data science tools (pandas, NumPy, scikit-learn, etc.).
Solid remote work experience and student mindset
You have a 4-hour overlap with CET time zones
You’re eligible to obtain a visa and can travel to Italy within three months of hiring

Benefits

We are a remote-first company, and this is a fully remote position
We build amazing teams with brilliant, happy, and motivated contributors
Earn Euro-level salaries with over 30 days of vacation, sick pay, and other benefits
The role is a permanent full-time position
We invest in people and understand great things happen if we do
Be part of our amazing company trajectory over the next five years
Travel to Sicily, Italy once a year for a fully paid company retreat

Salary
{{ symbol }}60000 - ${{ job.salary_max|floatformat:0 }}
per year
Company Size
51-200 employees
Employment Type
Full Time
Work Mode
On-site (Remote)
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Location

Remote