Data Scientist (Time Series Forecasting) (Fully Remote)

Undisclosed

United States

Remote

USD 90.000 - 130.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Undisclosed is seeking a data scientist to develop and refine models for weather, energy market prices, and grid supply and demand. You will translate analytical models into scalable, production-ready code and collaborate with distributed teams to deploy robust forecasting solutions.

The role offers fully remote work with international collaboration opportunities, exposure to energy trading platforms, and opportunities for growth in advanced data science and practical problem solving.

Qualifikationen

  • Analyze datasets to identify patterns and improve forecast accuracy.
  • Support data-driven trading decisions with reliable predictions.
  • Communicate technical findings clearly in a remote environment.
  • Fully remote work with international collaboration opportunities.
  • Professional growth in advanced data science and energy trading.

Aufgaben

  • Develop and refine models for weather, energy market prices, and grid supply and demand.
  • Translate analytical models into scalable, production-ready code.

Kenntnisse

Python
SQL
Agentic coding tools

Tools

Agentic coding tools

Jobbeschreibung


  • Develop and refine models for weather, energy market prices, and grid supply and demand.

  • Translate analytical models into scalable, production-ready code.


Data Analysis & Optimization:


  • Analyze datasets to identify patterns and improve forecast accuracy.

  • Support data-driven trading decisions with reliable predictions.

  • Work with distributed teams using Python, SQL, and agentic coding tools.

  • Communicate technical findings clearly in a remote environment.

  • Fully remote work with international collaboration opportunities.

  • Professional growth in advanced data science and energy trading.


The company operates a live energy trading platform powered by advanced forecasting solutions. It fosters a fully remote, distributed culture that values quantitative expertise, technical excellence, and practical problem-solving.

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