Data Scientist (AI)

TL;DR

Data Scientist (AI): Modeling accurate digital twin electric networks from complex geospatial data with an accent on AI, deep learning, and classical ML algorithms. Focus on surfacing actionable analytics like wildfire risk, optimizing infrastructure investments, and driving product strategy through high-visibility data insights.

Location: Must be based in or able to work from New York City or Dallas (Hybrid)

Salary: $160,000 – $190,000

Company

hirify.global builds engineering-grade, physics-enabled digital twins of electricity grids to help asset owners optimize investments and build resilient energy infrastructure.

What you will do

• Model digital twin electric networks using AI, deep learning, and classical ML algorithms.
• Surface meaningful analytics such as wildfire risk to guide customer infrastructure buildouts.
• Advise company leadership on data-driven strategy and product direction.
• Conduct experiments and A/B tests to improve grid modeling accuracy.
• QA predictive models and identify issues like distribution drift or overfitting.
• Craft scalable data pipelines for LiDAR, aerial photography, and GIS data.

Requirements

• 3-6 years of experience in technical, data-driven environments.
• Demonstrated experience with AI, Machine Learning, and data modeling.
• Proficiency in data storage and ETL technologies like Parquet, Databricks, Snowflake, PostgreSQL, and Spark.
• Comfort working in an AWS cloud environment.
• Strong communication skills with experience sharing findings with customers and senior leaders.
• Must be able to work in a hybrid capacity in New York City or Dallas.

Nice to have

• Experience with geospatial data or power grid infrastructure.
• Prior experience in the energy industry.

Culture & Benefits

• Work with sophisticated multi-modal data stacks including LiDAR and satellite imagery.
• Direct impact on preventing wildfires and hardening real-world energy grids.
• Competitive compensation package with significant equity.
• Opportunity to influence core product features and company data strategy.