Key skills
AWSCloudDynamoDBETLPostgresSparkAIMachine LearningMLDeep LearningAnalyticsSnowflakeDatabricksPostgreSQL
About this role
Role Overview
- Analyze a rich array of real-world data to inform our digital twin model
- Model accurate digital twin electric networks using AI, deep learning, and classical ML algorithms
- Conduct experiments and A/B tests to improve modeling of the grid
- Mentor others in best practices for model training and data analytics
Requirements
- 3-6 years of experience at technical, data-driven companies
- Experience with AI and Machine Learning
- Proficiency in data storage and ETL technologies (e.g., Parquet, Databricks, Snowflake, PostgreSQL, Spark, DynamoDB)
- Comfort working in an AWS cloud environment
- Ability to work effectively asynchronously and cross-functionally
Tech Stack
- AWS
- Cloud
- DynamoDB
- ETL
- Postgres
- Spark
Benefits
- Work with a sophisticated, multi-modal data stack
- Competitive compensation package with a significant equity component
- Opportunities to prevent wildfires and mitigate disaster risks