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Atmospheric G2 · 4 days ago

Data Scientist

United States

Full-time

Remote

Mid Level

Atmospheric G2 is a company that provides market-leading weather intelligence software, focusing on utilizing ML technologies for renewable energy forecasting. They are seeking a highly skilled Data Scientist to develop advanced machine learning models for predicting renewable energy generation and demand forecasting.

Environmental EngineeringSolarTechnical Support

Responsibilities

Develop and implement advanced machine learning models to predict renewable energy generation and support demand forecasting

Analyze large-scale datasets spanning meteorological conditions, energy generation, and consumption patterns to improve forecast accuracy and reliability

Partner cross-functionally with data science, engineering, product, and weather science teams to integrate meteorological signals into production forecasting systems

Monitor, evaluate, and continuously improve model performance over time, incorporating new data, evolving industry trends, and business needs

Interrogate and validate model behavior through performance diagnostics, error analysis, and bias checks to drive measurable improvements

Communicate results through clear visualizations and actionable insights for both technical and non-technical stakeholders

Qualification

Machine LearningPythonTensorFlowPyTorchData VisualizationGeospatial DatasetsTime-Series AnalysisAnalytical SkillsProblem-SolvingAttention to Detail

Required

Proven experience developing machine learning models, ideally in renewable energy, power markets, weather-driven forecasting, or related domains

Strong programming skills in Python, including experience with TensorFlow and PyTorch, and large-scale geospatial/time-series datasets using xarray

Experience building scalable, reliable data science workflows with large datasets

Strong understanding of ML best practices across the model lifecycle (data preparation, training, evaluation, deployment), with an emphasis on reproducibility and documentation

Strong analytical and problem-solving skills, with attention to detail and a structured approach to debugging and improvement

Ability to communicate complex results clearly using data visualization and analysis tools