Data Scientist

Who You Are: - A data scientist, ML scientist, 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 kilometers of infrastructure, moving beyond "digital metrics" to harden the real-world energy grid. - You won't just build models; you'll advise the company on data strategy and see your experiments evolve into core product features that dictate how the world's largest utilities invest. - We offer a highly competitive compensation package with a significant equity component, ensuring you are a true stakeholder in our mission and benefit directly from the company's rapid global scale. #LI-NT1