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Tyba

Data Scientist

Tyba

Data Scientist developing forecasting models for Tyba's battery auto-bidding platform. Contributing to pricing algorithms to deliver substantial value for clean energy customers.

Posted 6/3/2026full-timeSF Bay Area • California • 🇺🇸 United StatesJuniorMid-Level💰 $130,000 - $170,000 per yearWebsite

Tech Stack

Tools & technologies
PandasPythonPyTorchSQL

About the role

Key responsibilities & impact
  • Train and evaluate forecasting models for new applications and use cases.
  • Develop features for nodal electricity price forecasts, working with power market experts to identify predictive signals and integrate them into our forecasting infrastructure.
  • Investigate model behavior in specific contexts, such as diagnosing forecast misses and identifying their root causes.
  • Benchmark model performance by analyzing price forecast and battery dispatch backtests, defining the metrics that matter, and building dashboards to track them over time.
  • Communicate model performance and behavior clearly to internal stakeholders and customers.

Requirements

What you’ll need
  • Master’s degree in CS/Statistics/Finance/Operations Research OR 2 years of experience working in related fields
  • Passion for working in clean energy and a strong willingness to build knowledge of power market fundamentals
  • Experience with Python and its package ecosystem (Pandas, PyTorch, plotting libraries), as well as SQL
  • Experience with time series forecasting, ideally at high frequency and demonstrated by concrete projects
  • Comfortable with machine learning models and concepts
  • Comfortable working in Git
  • Ability to work cross-functionally on an interdisciplinary team
  • Experience with energy and/or financial data, optimization and data infrastructure is a plus
  • Experience with working on ML systems in production is a plus

Benefits

Comp & perks
  • Parental leave
  • medical benefits
  • unlimited PTO.
  • Opportunity to own a stake in the company through an employee stock option plan.
  • Hybrid work model, remote work options, and team offsites

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Hard Skills & Tools
PythonSQLtime series forecastingmachine learningdata analysismodel evaluationperformance benchmarkingdata visualizationoptimizationforecasting models
Soft Skills
communicationcross-functional collaborationproblem-solvinginterdisciplinary teamworkanalytical thinkingadaptabilitypassion for clean energywillingness to learn