Director of Data Science at Omnidian

Seattle, Washington, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Renewable Energy, Solar, Energy StorageIndustries

Requirements

Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics) or equivalent practical experience; advanced degree is a plus
7+ years of experience in data science, with a proven track record of building and deploying models in a production environment
4+ years of experience in data science leadership, building and managing data science teams
Proven experience building and scaling data science teams from the ground up
Deep expertise in machine learning, statistical modeling, and experimental design
Strong programming skills in Python and expertise with a relevant data science stack (e.g., pandas, etc.)
Experience with cloud platforms (e.g., AWS, GCP) and big data technologies (e.g., Apache Spark)
Exceptional communication and collaboration skills, with the ability to translate complex technical concepts to non-technical stakeholders
Passion for clean energy and a strong desire to contribute to a mission-driven company
Strategic Leadership – Guides team vision while delivering measurable results
Technical Excellence – Deep expertise in ML, statistical modeling, and experimentation
Cross-Functional Collaboration – Communicates effectively across technical and non-technical teams
Execution Focus – Turns strategy into scalable, operational solutions
Mission-Driven Mindset – Passionate about clean energy and sustainability

Responsibilities

Lead, mentor, and grow a high-performing team of data scientists and ML engineers (Team Leadership & Strategy, 40%)
Foster a culture of innovation, collaboration, and rapid delivery (Team Leadership & Strategy, 40%)
Develop and execute the data science roadmap and strategy, aligned with company goals (Team Leadership & Strategy, 40%)
Set clear priorities and measure impact against KPIs (Team Leadership & Strategy, 40%)
Integrate predictive and prescriptive analytics into core technology and processes (Operationalizing Data Science, 35%)
Architect and oversee scalable, production-ready data pipelines and ML models (Operationalizing Data Science, 35%)
Collaborate with Engineering, Product, and Operations to prioritize and execute high-value opportunities (Operationalizing Data Science, 35%)
Serve as a subject matter expert in renewable energy data science (Industry Influence & Thought Leadership, 25%)
Represent Omnidian at industry events, conferences, and with key stakeholders (Industry Influence & Thought Leadership, 25%)
Advocate for best practices in data science and ML deployment (Industry Influence & Thought Leadership, 25%)
Engage directly with clients to understand needs, present insights, and demonstrate value (Industry Influence & Thought Leadership, 25%)

Skills

Data Science

Machine Learning

ML Engineering

Predictive Analytics

Prescriptive Analytics

Data Pipelines

Team Leadership

Strategy

Omnidian

Maintains and monitors solar energy systems

About Omnidian

Omnidian focuses on the maintenance and performance assurance of solar energy systems for homeowners and businesses, including large-scale residential portfolio owners. Their primary service is a 24/7 remote monitoring system that tracks solar system performance and coordinates repairs when necessary, ensuring minimal downtime. Clients pay for subscription-based protection plans, and a standout feature is their 95% Energy Guarantee, which compensates clients if their solar system underperforms. This approach shifts the risk of maintenance issues from clients to Omnidian, providing financial security and peace of mind.

Seattle, WashingtonHeadquarters

2016Year Founded

$80MTotal Funding

LATE_VCCompany Stage

Energy, Consumer GoodsIndustries

201-500Employees