Senior Data Scientist

Omnidian

8d • $116,800 - $146,000 • Remote

About The Position

We are seeking a Senior 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.

Requirements

• MS in a quantitative field or equivalent experience; 6+ years in applied data science
• Strong hands-on experience with time-series methods: anomaly detection, forecasting, seasonal decomposition, state-space models
• Production ML experience including model deployment, monitoring, and retraining pipelines
• Proficiency in Python (pandas, numpy, scikit-learn) and SQL; experience with at least one of PyTorch/TensorFlow
• Experience working with noisy, irregularly sampled, multi-sensor data at scale
• Track record of leading modeling projects end-to-end — translating ambiguous business problems into measurable model outputs and shipping them to production
• Proven written and verbal communication skills
• The ability to work with large cross-functional team.
• Experience mentoring data scientists or engineers and raising team standards
• Experience with architecture and tooling decisions for production ML systems on a major cloud platform (e.g., AWS, Azure, GC)

Nice To Haves

• GenAI: Experience developing with Claude Code or putting LLMs into operational workflows
• Solar Modeling: Familiarity with PV performance modeling tools (e.g., pvlib, PVsyst) or irradiance and weather datasets. Hands-on work with inverter, SCADA, or other industrial IoT data streams
• Tooling: Experience with Databricks, MLflow, or similar ML platform and orchestration tooling
• Forecasting: Experience with probabilistic forecasting or failure prediction — e.g., forecasting energy production, predicting part failure, or estimating remaining life
• Optimization: Experience with ranking, prioritization, or decision-optimization problems such as alert triage or field-dispatch scheduling

Responsibilities

• 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 with engineering to integrate your models into Resolv, turning model outputs into concrete, prioritized dispatch recommendations
• Close the loop with operations: track how your recommendations perform in the field — truck rolls avoided, issues resolved faster — and use that data to improve your models
• Explore and prototype new modeling approaches and validate their business impact before investing in production deployment
• Stay current with advances in ML and energy analytics, and share what you learn with the team

Benefits

• family medical
• dental
• vision
• disability
• 401(k) administration and $1k match per year
• thoughtful paid time off
• 12 weeks of paid parental leave to all FTE employees (birthing and non-birthing) after 1 year
• four-week paid sabbatical leave after four years
• competitive total compensation package that includes monthly health insurance premiums, bonuses and long-term stock options for every employee
• up to $500 in annual learning reimbursement for courses, certifications, or conferences

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree