Energy Markets Data Scientist — Forecasting & Optimization

SYSO Technologies

United States

Vor Ort

USD 90.000 - 130.000

Vollzeit

vor 17 Stunden
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

SYSO Technologies seeks a data science professional to build price forecasts, peak load models, and market strategies across ISO markets. You will work with large energy datasets and develop production-grade code to deploy predictive models.

The role emphasizes collaboration with Engineering, Operations, and Energy Markets teams, delivering data-driven insights for business growth and energy optimization.

Qualifikationen

  • BA/BS in Data Science, CS or related technical field.
  • Relevant professional experience from early-career to senior levels.
  • Strong analytical and coding skills with Python or equivalent tools.
  • Ability to collaborate across the company and adapt to varied roles.

Aufgaben

  • Build price forecasts and peak load models using statistical and ML methods.
  • Work with large datasets (price, generation, load, weather) across multiple ISO markets.
  • Design and implement dispatch and optimization algorithms for battery energy storage systems.
  • Develop production-ready code to deploy models and workflows.
  • Create data visualizations and dashboards to summarize outputs and market trends.
  • Collaborate with Engineering, Operations, and Energy Markets teams to integrate data insights.
  • Conduct ad-hoc analyses to support business development and market strategies.

Kenntnisse

Python
Analytical skills
Collaboration

Ausbildung

Bachelor's degree in Data Science or CS
Master's or PhD in Data Science or related field

Tools

Databricks
Kubeflow
Metaflow

Jobbeschreibung

SYSO Technologies seeks a data science professional to build price forecasts, peak load models, and market strategies across ISO markets. You will work with large energy datasets and develop production-grade code to deploy predictive models.

The role emphasizes collaboration with Engineering, Operations, and Energy Markets teams, delivering data-driven insights for business growth and energy optimization.

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