Senior Data Scientist

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 recommendations perform in the field - truck rolls avoided, issues resolved faster - and use that data to improve your models

Ideate and Explore New Models (20%)

• 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

Who You Are

• You own outcomes and measure success by the decisions your models improve
• You are rigorous with messy, real-world data. You dig into the quality, provenance, and business context of the data your models consume
• You take your models through the full lifecycle (from problem framing, prototyping, and validation to deployment and monitoring)
• You translate across domains. You work fluently with engineers, operations teams, and customers to scope what data science can (and can't) solve, and you can explain a diagnostic model to someone who has never heard of state-space methods.

Experience 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)

Experience That's a Plus

• 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

Logistics

• We plan to have this role start in early Fall 2026
• We are unable to provide sponsorship for this role, now or in the future
• Most of our roles offer the opportunity to work remotely
• If you are in the Seattle area, we offer a vibrant office space in the historic and beautiful Smith Tower, in the heart of Pioneer Square
• We prioritize applicants near one of our employee clusters and offer one or more local gatherings per year

Work-Life & Culture

• We provide outstanding benefits including family medical, dental, vision, disability, 401(k) administration and $1k match per year and thoughtful paid time off
• We offer 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
• We offer a competitive total compensation package that includes monthly health insurance premiums, bonuses and long-term stock options for every employee
• We love to lift each other up through company-wide slack channels such as #puppiesandpets, #omnidian-wellness, #praiseandbooms and #sustainablefuture
• We have affinity groups to help employees feel seen and supported, such as Rainbow Array, Black Lights Matter, Neurospicy R Us, Puente and more.
• We are a passionate, mission driven team that believes in collaboration, mutual respect and trust. For examples, come Discover our Story!

Grow with Us

• We mentor and invest in our employees and prioritize them for future opportunities. Check out our Instagram reels to see a few career journey examples, or this Omnidian Career Experience overview on YouTube.
• Internal candidates: Check out our advice on Internal Transfer: Job Application Process
• Here are the roles in this career track:
  • Senior Data Scientist
  • Staff Data Scientist
  • Principal Data Scientist
• We're a fast-growing growth company, which means we're constantly reinventing processes, adding new products, and asking people to use all of their skills and talents. That means there's going to be a lot of opportunities for you to grow, which also means you will likely be stretched in ways you've never experienced in a job before. If you are resilient, determined, and not afraid of a big challenge, come apply.

$116,800 - $146,000 a year

Our Philosophy on Pay: The range listed above reflects the starting base salary for most new hires in this role. However, your financial growth doesn't stop at the offer letter. We invest deeply in our people and reward results; annual merit increases can bring your total compensation above this initial range. Our goal is for you to continue growing within the pay band as you sharpen your skills and drive meaningful outcomes.

• Committed to Parity: We eliminate the "negotiation tax" by placing candidates within the band based on verified professional experience and skill set, not bartering ability, and by giving our best offer up front. This is a core part of our mission to ensure gender pay equity and fairness across the board.
• Comprehensive Health Coverage: Your well-being is our priority. 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 are a learning organization. To support your evolution, we provide up to $500 in annual learning reimbursement for courses, certifications, or conferences.

#LI-REMOTE

Privacy

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Diversity and Inclusion

We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our customers. We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. We value diversity and inclusion and are committed to ensuring our hiring and retention practices, as well as our office culture, reflects this value.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.


Omnidian is an equal opportunity employer. We are committed to diversity in the workplace. We make employment decisions on the basis of merit and business need. We hire without consideration to age, ancestry, citizenship, disability, gender expression, gender identity, marital status, national origin, political activity or affiliation, race, religion, sexual orientation, veteran status, or any other basis protected by law.

We invite you to be part of our mission to create a workplace that is inclusive and welcoming to all.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.