Data Scientist

Verse

San Francisco, CA, United States
Base: $146,000 - $172,000; bonus/equity: equity gr...
On-site
Time series forecasting expertise
Cloud-based model deployment
Python scientific computing libraries
Verse helps organizations manage complex power portfolios by unifying energy data, planning, forecasting, and operations in one tool

Job Summary

  • Verse helps organizations manage complex power portfolios by unifying energy data, planning, forecasting, and operations in one tool.
  • The role involves leading end-to-end data science projects from problem definition through production deployment to support electricity markets and renewable procurement.
  • Employees enjoy competitive compensation, equity grants, comprehensive benefits, flexible hours, and unlimited PTO at a high-growth startup.

Matching Summary

Verse helps organizations manage complex power portfolios by unifying energy data, planning, forecasting, and operations in one tool.

Salary

Base: $146,000 - $172,000; Bonus/Equity: Equity grant at high-growth startup; Benefits: Medical, dental, vision, 401k

Skills & Requirements

Must-have

  • Time series forecasting expertise
  • Cloud-based model deployment
  • Python scientific computing libraries
  • Data transformation orchestration tools
  • MLOps infrastructure development

Nice-to-have

  • Experience in energy or climate tech domains
  • Familiarity with optimization methods
  • Probabilistic forecasting experience
  • Operations research background
  • PhD in quantitative field

Key Requirements

  • Master's degree in quantitative field with 2+ years experience
  • Bachelor's degree with 4+ years experience
  • Strong Python expertise with ML libraries
  • Experience deploying models in AWS, GCP, or Azure
  • Proficiency with Airflow, Dagster, or dbt

Work Rights

Not specified

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