Grid Analytics Researcher | Greater Houston 28 views

Multiple-Sectors

Location: TX
About the job
Contexte et environnement

🌟 Why This Role Matters

You will help TotalEnergies build a scalable, transmission‑focused analytics capability that directly informs major investment decisions, renewable deployment strategy, market positioning, and long‑term planning. Your work will become core to how the company understands grid behavior—now and decades into the future.

🌍 Turn Grid Complexity Into the Future of Clean Energy

TotalEnergies is building a world‑class grid analytics capability to support its expanding multi‑energy ambitions across the U.S. and globally. We’re seeking a Grid Analytics Researcher who thrives at the intersection of power systems engineering, data science, transmission modeling, and electricity market analysis. If you’re passionate about understanding how the grid works—and how it’s rapidly evolving—this role puts you at the center of that transformation. You will develop models, build datasets, and turn noisy real‑world grid behavior into clear insights that shape decisions around nodal pricing, congestion, asset value, market forecasting, and long‑term grid evolution.

Activités

💼 What You’ll Do Advanced 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.

Profil du candidat

🎓 What You Bring Minimum 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.

Informations supplémentaires

TotalEnergies valorise la diversité, promeut le développement individuel et offre des opportunités d’emploi égales à tous les candidats.

Multiple-Sectors