Data Scientist

Data Scientist Department: Customer Success Location: New York City, Dallas Compensation: $160K – $190K • Offers Equity Employment Type: FullTime Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Halcyon Labs. We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure. By simulating extreme weather and structural stress at a network-wide scale, we empower the world’s largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future. Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe. Data Scientist As a Data Scientist, you will analyze a rich array of real-world data to inform our digital twin model of the electric grid, including topography, LIDAR, imagery, vegetation, structural loading, and electrical connectivity. Your work will drive product direction with high visibility, highlight grid expansion opportunities, identify aging and risky infrastructure, and help our customers understand where to build and invest. Working alongside ML Engineers and product-facing engineering teams, your ideas will ultimately take shape as new product features that expand what Halcyon Labs is capable of doing, and as new infrastructure buildouts for the energy grid itself. What You Will Do: 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 that help guide customer buildout of electrical infrastructure. Advise the company on what our data says and use that understanding to inform Halcyon Labs’s strategy. Conduct experiments and A/B tests to improve our modeling of the grid. QA and improve our predictive models; identify data issues such as distribution drift, overfitting, or test set leakage. Craft scalable data pipelines to work with a variety of data sources, including LiDAR, aerial photography, photogrammetry and GIS. Mentor others in best practices for model training, data analytics, and building data-driven products. Who You Are: A data scientist, ML scientist, data engineer, or similar with 3-6 years of experience at technical, data-driven companies operating in complex environments. Geospatial data or power grid experience are a plus. You have a strong intuition for data with good communication skills and experience sharing your findings with customers and senior leaders. Demonstrated experience with AI and Machine Learning and a keen intuition for data modeling. Experience translating your models into both experiments and deployable software. Proficiency in data storage and ETL technologies, such as Parquet, Databricks, Snowflake, PostgreSQL, Spark, and DynamoDB. Comfort working in an AWS cloud environment. Excellent problem-solving skills as applied to new domains. Ability to work effectively asynchronously and cross-functionally on novel, cutting-edge problems. Ability to own problems and proactively approach challenges. Prior experience in the energy industry is a plus. What We Offer: Work with a sophisticated, multi-modal data stack, including LiDAR, satellite imagery, and physics-enabled digital twins, to solve high-stakes engineering problems that most data scientists only see in theory. Your models will directly prevent wildfires and mitigate disaster risks across millions of kilome