Country United States / US
City HOUSTON
Workplace location HOUSTON(USA)
Employer company TotalEnergies E&P Research & Technology USA, Inc.
Domain Operations
Type of contract Regular position
Experience Minimum 6 years
ActivitiesWhat You'll DoAdvanced Grid & Market Analytics- Build and run electric grid models to analyze transmission behavior, nodal pricing, congestion drivers, and long-term grid dynamics.
- Contribute across the entire modeling stack-including power flow, production cost modeling (PCM), and capacity expansion modeling (CEM).
Data Science & Applied Research- Ingest, clean, and analyze large and noisy datasets from APIs and structured markets data sources.
- Apply machine learning and statistical modeling for forecasting, pattern detection, anomaly detection, and power market insights.
- Validate results using engineering intuition, historical behavior, and known system constraints.
Model Development & Workflow Automation- Build curated datasets for grid topology, outages, line ratings, and operational assumptions.
- Develop end-to-end modeling workflows as an internal "product"-from data ingestion to QA to delivering insights on congestion, basis risk, nodal price impacts, and asset value.
Collaboration & Innovation- Translate macro-grid trends-renewables growth, electrification, weather impacts-into quantitative metrics used by commercial and strategy teams.
- Collaborate with national labs, startups, consulting partners, and internal global research teams.
- Support testing and technology transfer for external tools and internal research platforms.
Candidate ProfileWhat You BringMinimum Qualifications- Bachelor's degree in Electrical Engineering, Power Systems, Energy Systems, Applied Math, Computer Science, or related field.
- 5+ years of experience in transmission modeling, power system analysis, electricity markets, or similar analytical work (utility, ISO/RTO, consulting, analytics).
- Hands-on experience in major U.S. ISO/RTO nodal markets (ERCOT, PJM, CAISO).
- Strong proficiency in Python and data science libraries.
- Demonstrated experience using data analytics or ML to extract market insights from large datasets.
Preferred- Graduate degree (M.S./Ph.D.) in Power Systems or related field.
- Familiarity with production cost modeling (e.g., PLEXOS).
- Experience linking power flow, congestion analysis, PCM, or CEM models.
- Experience managing end-to-end modeling pipelines.
- Ability to convert market and grid trends into quantitative metrics (congestion, nodal pricing, load curves).
- Interest in U.S. grid research and policy.
- French proficiency is a plus.
Additional Information 
