Data Scientist – Energy Markets & Forecasting

Modo Energy; New York (NY); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

25 days annual leave

Medical, dental, and vision benefits

401(k) with optional matching contribution

Job summary

A leading energy firm based in New York is seeking a motivated analyst to develop market-leading models and provide insights on energy assets. The ideal candidate should have a Bachelor's degree in a quantitative field and 3–5 years' experience in Python programming. This role includes analyzing complex data and ensuring the credibility of forecasting outputs. Competitive compensation ranges from $110,000 to $170,000 annually, depending on experience, alongside comprehensive benefits in a collaborative office environment.

Qualifications

• 3–5 years’ experience using Python or another programming language.
• Experience producing customer-facing analytical outputs.
• Familiarity with US power markets and regulatory frameworks.

Responsibilities

• Develop and enhance in-house power market models.
• Source and interpret complex datasets for forecasting.
• Analyze model outputs and ensure high-quality standards.
• Work closely with development team for seamless integration.

Skills

Python

Analytical skills

Quantitative analysis

Cloud computing (AWS)

Education

Bachelor’s degree in a quantitative field

Tools

NumPy

Pandas

SciPy

scikit-learn

Job description

A leading energy firm based in New York is seeking a motivated analyst to develop market-leading models and provide insights on energy assets. The ideal candidate should have a Bachelor's degree in a quantitative field and 3–5 years' experience in Python programming. This role includes analyzing complex data and ensuring the credibility of forecasting outputs. Competitive compensation ranges from $110,000 to $170,000 annually, depending on experience, alongside comprehensive benefits in a collaborative office environment.