Senior Data Scientist

Overview

Develop AI & physics-based electricity price forecasts for US markets to guide trading.

Key Responsibilities

• ai modeling
• price forecast
• backtesting
• cloud scaling
• data analysis
• trading collaboration

Tasks

-Combine physical models with statistics and AI in creative ways to create models which are compute efficient while robust to extreme events and changes in the underlying system being modeled -Analyze, experiment, develop models, and evaluate models to help the company gather business intelligence and predict electricity prices -Work with the development team to develop production level code to backtest and run models at scale in the cloud -Collaborate with the team to expand forecasting capabilities across various timescales and U.S. markets including PJM, SPP, and CAISO -Work directly with the trading teams and Head of Market Analysis to create evaluation methodologies and assess quality of forecasts in terms of delivering clear signal for trading activities -Leverage data analysis to help identify areas for improvement of probabilistic price forecasts and develop experiments to help resolve and improve modeling efforts -Work with and contribute to internal custom machine learning pipeline and physical model development using Python packages and in-house libraries

Requirements

• python
• sql
• machine learning
• linear algebra
• bachelor's
• 10+ years

What You Bring

-Proficiency with linear algebra and machine learning -Must be available to travel domestically up to 15% of the time and with the need for some overnight trips -Ability to combine theory and data to develop experiment driven methodologies -This role is eligible for our hybrid work policy in our Houston, TX; Chicago, IL; and Broomfield, CO offices. For highly qualified candidates based in Pittsburgh, PA, a fully remote arrangement may be considered, provided the individual can travel to the Houston office for at least one week each month -Proficiency with probabilistic thinking and evaluation -Must be willing and able to comply with all ENGIE ethics and safety policies -Proficiency in a programming language such as Python (or similar) and SQL (or similar) -Ability to articulate experimentation methods, results, and conclusions clearly -Minimum of a Bachelor’s degree in a Science, Engineering, or Mathematics field -Proficiency with correlated uncertainty quantification and statistical analysis -A minimum of ten (10) years working as a Data Scientist or a similar position

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About Engie Global Energy Management & Sales (Gems)

-Its asset management arm secures and commercializes physical energy assets, boosting flexibility and revenue. -Through market access and risk services, it shields clients from volatility, deploying custom hedging and trading tools. -Its proprietary platform EGMA automates bilateral trades in seconds, integrating data, forecasts and ISO‑rated security. -Typical engagements include structuring PPAs, optimizing backup generation, managing certificate portfolios, and launching new energy-market platforms.

Sector Specialisms

Visa Sponsorship

-this role is eligible for sponsorship.