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Grid Analytics Researcher

Remote / Online - Candidates ideally in
Houston, Harris County, Texas, 77246, USA
Listing for: TOTAL Deutschland GmbH
Full Time, Part Time, Remote/Work from Home position
Listed on 2026-06-04
Job specializations:
  • Engineering
    Data Science Manager
Salary/Wage Range or Industry Benchmark: 85000 - 115000 USD Yearly USD 85000.00 115000.00 YEAR
Job Description & How to Apply Below

Société employeur Total Energies E&P Research & Technology USA, Inc.

Domaine Opérations Exploitation

Type de contrat CDI

Expérience Minimum 6 ans

🌟
Why This Role Matters

You will help Total Energies 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

Total Energies 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.

💼
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.
  • 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.
🎓
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.
  • 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.

Working at Total Energies

At Total Energies we are committed to balancing flexibility while fostering strong relationships among our team members. Our office‑based employees work together from dynamic work spaces 3 days per week to build teamwork through collaboration while also having the flexibility to work from home 2 days per week. Total Energies Renewables USA currently has offices in San Francisco, Boston, Austin, Houston, and NYC.

What We Provide

Total Energies offers a robust comprehensive benefits package available to employees on the first day of hire. These benefits include but are not limited to generous PTO, medical, dental & vision care, HSA with company contributions, health FSA, commuter benefits or paid parking, 401(k) plan with employer match, life & accident insurances, generous parental leave, education assistance, fitness subsidy and more.

International Consideration

Total Energies regrets that it is unable to sponsor employment Visas or consider individuals on time‑limited visa status for this position.

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