Data Scientist

About the Company

Neara uses advanced machine learning to create engineering-grade, physics-enabled digital twins of electricity grids across four continents. By simulating extreme weather and structural stress, we empower the world’s largest utilities to pinpoint risks and build a more resilient global energy future.

Responsibilities

• Model accurate digital twin electric networks from imperfect data using AI, deep learning, and classical ML algorithms
• Surface meaningful analytics and metrics such as wildfire risk to guide infrastructure buildout
• Advise the company on data insights to inform Neara’s strategy
• Conduct experiments and A/B tests to improve grid modeling
• QA and improve predictive models, identifying issues like distribution drift or overfitting
• Craft scalable data pipelines for LiDAR, aerial photography, photogrammetry, and GIS data
• Mentor others in best practices for model training and data analytics

Requirements

• 3-6 years of experience as a Data Scientist, ML Scientist, or Data Engineer
• Demonstrated experience with AI and Machine Learning
• Experience translating models into experiments and deployable software
• Proficiency in data storage and ETL technologies (Parquet, Databricks, Snowflake, PostgreSQL, Spark, or DynamoDB)
• Comfort working in an AWS cloud environment
• Strong problem-solving skills and ability to work asynchronously

Preferred Qualifications

• Experience with geospatial data
• Experience in the power grid or energy industry