Data Scientist

📋 Description

• Analyze real-world data to inform our digital twin model of the electric grid.
• Collaborate with ML Engineers and product teams to shape features and infrastructure builds.
• Model digital twin electric networks using AI and ML methods.
• Surface analytics like wildfire risk to guide customer buildout.
• Conduct experiments and A/B tests to improve grid modeling.

🎯 Requirements

• 3-6 years in data science, ML, or similar roles in technical settings.
• Strong data intuition with ability to communicate findings to customers and leaders.
• Experience with AI/ML and translating models into deployable software.
• Proficiency in data storage/ETL tech (Parquet, Databricks, Snowflake, PostgreSQL, Spark, DynamoDB).
• Comfort in AWS cloud environment and solving novel problems asynchronously.
• Prior energy or geospatial domain experience is a plus.

🎁 Benefits

• Multi-modal data stack with LiDAR, satellite imagery, and digital twins.
• Models to prevent wildfires and harden real-world energy grid infrastructure.
• Opportunity to influence data strategy and product features.
• Competitive compensation with equity component.