[Hiring] Senior Data Scientist @BaxEnergy

BaxEnergy; United States; Remote; USD 60,000 - 100,000; Full time

Job summary

BaxEnergy is seeking a Senior Data Scientist to work remotely, focusing on renewable energy solutions. This role involves leading data science projects, applying machine learning, and addressing complex energy challenges. Candidates should have strong Python skills and a solid foundation in statistics to succeed in this impactful position. The company offers competitive salaries, generous vacation, and promotes diversity in its hiring process. Join a team dedicated to innovation in the energy sector and enjoy annual retreats in Italy.

Benefits

Over 30 days of vacation

Sick pay

Annual paid company retreat to Sicily

Qualifications

• Strong background in statistics and machine learning.
• Experience with time series data and predictive models.
• Expert Python skills and standard data science tools knowledge.

Responsibilities

• Lead data science initiatives and manage their execution.
• Analyze time series data and create forecasting models.
• Collaborate with cross-functional teams to develop features.

Skills

Statistics

Machine Learning

Python

Time Series Data

Data Analysis

Tools

pandas

NumPy

scikit-learn

Job description

Jun 09, 2025 - BaxEnergy is hiring a remote Senior Data Scientist. Salary: $60k-$100k. Location: European timezones.

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.

This role is fully remote.

What You Will Do

• Lead data science initiatives and take responsibility for their execution.
• Analyse time series data and develop models for forecasting, anomaly detection, and optimization.
• Work closely with product, engineering, and domain experts to build features that get used.
• Bring clarity to messy data, test hypotheses, and make informed, modelling choices.
• Communicate your findings clearly to both technical and non-technical teammates.
• Contribute to best practices around reproducibility, testing, and model monitoring.

About You

• 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

Why Join Us

• 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

We support and encourage diversity in our workplace. Applications are welcome from all backgrounds without regard to race, ethnicity, gender, orientation, age, or religion. Please apply even if you don't meet all the criteria listed.