Grid Analytics Researcher

TOTAL Deutschland GmbH

Houston (TX)

Hybrid

USD 85,000 - 115,000

Full time

14 days+

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Benefits offered by this job

Assurance médicale, dentaire et vision
Congés généreux
Assistance à l'éducation

Job summary

Une entreprise spécialisée dans l'énergie recherche un(e) Grid Analytics Researcher pour développer des capacités d'analyse axées sur le réseau. Le candidat idéal aura une expérience de plus de 5 ans en modélisation de systèmes de transmission et en analyse de marché. Le poste nécessite des compétences en Python et une compréhension des marchés nodaux américains. Ce rôle offre un modèle de travail hybride avec une forte culture de collaboration et des avantages sociaux compétitifs.

Qualifications

  • Minimum 5 ans d'expérience en modélisation de transmission ou analyse de systèmes électriques.
  • Compétences avancées en Python et bibliothèques de science des données.
  • Expérience pratique dans les marchés nodaux majeurs des États-Unis (ERCOT, PJM, CAISO).

Responsibilities

  • Construire des modèles électriques pour analyser le comportement de transmission et les tendances du marché.
  • Analyser des ensembles de données complexes pour détecter des anomalies et des tendances de marché.
  • Collaborer avec des laboratoires nationaux et des équipes de recherche internes.

Skills

Modélisation des systèmes de transmission
Analyse de marché de l'électricité
Python
Mise en œuvre de l'apprentissage automatique

Education

Diplôme en Génie Électrique, Systèmes Énergétiques ou Mathématiques Appliquées

Tools

PLEXOS

Job description

Société employeur TotalEnergies E&P Research & Technology USA, Inc.

Domaine Opérations Exploitation

Type de contrat CDI

Expérience Minimum 6 ans

🌟 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 Researcherwho 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 TotalEnergies

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

What We Provide

TotalEnergies 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

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

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