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Senior Data Scientist

omnidian·US·United States·senior
mldata science
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About Omnidian Omnidian , Inc. is a fast-growing Series C tech-enabled service company revolutionizing performance assurance for the distributed solar and energy storage industries. Omnidian is building a more sustainable future for the planet through our passionate teams, our innovative technology, and by creating an amazing customer experience. We are a certified B Corp, headquartered in Seattle, WA The Job We are seeking aSenior Data Scientist to design, build, and scale advanced detection and diagnostic models for solar and storage assets. In direct support of Omnidian ’s mission, your work will enable faster detection, fewer truck rolls, and better customer experience. As a key member of the data science team, you will report to the Director of Data Science and partner closely across product management, engineering, and operations to take models from idea to production in Omnidian ’s Resolv platform. What You'll Do At Omnidian we believe in trust and autonomy. How you create an impact is ultimately up to you. Here is an outline of some of the things you’ll be doing: Lead Issue Detection & Diagnostic Models (60%) Develop machine learning models that detect underperformance, faults, and anomalies in PV and storage system time-series data Build diagnostic logic that distinguishes root causes (soiling, shading, inverter clipping, string outages, communication gaps, sensor drift, degradation) of underperformance. Own the data science lifecycle from problem definition and model development through validation and monitoring, partnering with Engineering to deploy models into production. Help shape the technical direction for the detection and diagnostics roadmap and strengthen the team’s approach to model design, validation, and testing Partner to Deploy High-Impact Models (20%) Partner with engineering to integrate your models into Resolv, turning model outputs into concrete, prioritized dispatch recommendations Close the loop with operations: track how your recommend

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