Senior Data Scientist

Omnidian

Senior Data Scientist designing and building detection models for solar and storage assets. Collaborating with product management and engineering teams to enhance customer experience.

Posted 7/21/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $116,800 - $146,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying advanced detection and diagnostic models for solar and storage assets, with a strong focus on time-series methods and production machine learning systems. Proven ability to lead cross-functional teams and mentor data scientists while ensuring high standards in model development and deployment.

Highest-signal resume keywords

Production ML ExperienceTime-Series MethodsPython ProficiencyModel DeploymentCloud Platform Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Anomaly DetectionForecastingSeasonal DecompositionState-Space ModelsModel MonitoringModel Retraining PipelinesSQLPandasNumpyScikit-Learn

Soft Skills

Written CommunicationVerbal CommunicationTeam CollaborationMentoring

Tools & Technologies

PyTorchTensorFlowAWSAzureGoogle Cloud

Industry Keywords

Data ScienceSolar AssetsStorage AssetsCross-Functional TeamModel Outputs

Tech Stack

Tools & technologies

AWSAzureCloudNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Design, build, and scale advanced detection and diagnostic models for solar and storage assets.
Enable faster detection, fewer truck rolls, and better customer experience.
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

What you’ll need

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)

Benefits

Comp & perks

We cover 100% of health insurance monthly premiums for employees and 50% for your dependents.
Performance Bonus: Exceptional work deserves exceptional rewards. You’ll be eligible for bonuses that reflect your contributions to our collective success.
Equity Stake: We offer stock options so you can share in the long-term value you help create as we shape the future together.
Continuous Growth: We provide up to $500 in annual learning reimbursement for courses, certifications, or conferences.
12 weeks of paid parental leave to all FTE employees (birthing and non-birthing) after 1 year, and four-week paid sabbatical leave after four years.
Family medical, dental, vision, disability, 401(k) administration and $1k match per year and thoughtful paid time off.