Data Scientist, Hedging & Risk — Renewables (Hybrid)

ENGIE North America Inc.; Houston (TX); Hybrid; USD 117,000 - 180,000; Full time

Benefits offered by this job

Hybrid in-office work policy

Domestic travel up to 10%

401(k) with company match

Comprehensive benefits package

Job summary

ENGIE North America is seeking a highly analytical Data Scientist to join the Hedging & Risk Management team supporting our renewable energy portfolio. You will apply advanced analytics, data science, and cloud-based platforms to transform complex markets and risk data into actionable insights that enhance decision-making and financial performance of renewables.

You will develop scalable analytical tools, automate processes, and improve risk visibility, collaborating with cross-functional

Qualifications

• Bachelor’s degree in a quantitative discipline (Data Science, CS, Statistics, Math, Engineering, Economics, Finance)
• 7+ years of relevant experience in data science, analytics, modeling, or market risk analysis
• Advanced proficiency in Python with scalable analytical solutions
• SQL and cloud-based data platforms (Databricks, Azure, Snowflake)
• Experience with statistical modeling, ML, forecasting, optimization
• BI/data visualization tools (Power BI, Tableau)

Responsibilities

• Design scalable digital solutions to replace manual processes and improve efficiency
• Develop predictive models and analytical frameworks for portfolio and risk management
• Create dashboards and reports to visualize market, portfolio, and risk exposures
• Translate complex outputs into actionable insights for stakeholders
• Collaborate with cross-functional teams to advance risk and commercial analytics

Skills

Python proficiency

Statistical modeling

Communication

Problem solving

Data storytelling

Education

Bachelor’s degree in a quantitative discipline

Tools

Databricks

Azure

Snowflake

Power BI

Tableau

Job description

ENGIE North America is seeking a highly analytical Data Scientist to join the Hedging & Risk Management team supporting our renewable energy portfolio. You will apply advanced analytics, data science, and cloud-based platforms to transform complex markets and risk data into actionable insights that enhance decision-making and financial performance of renewables.

You will develop scalable analytical tools, automate processes, and improve risk visibility, collaborating with cross-functional