Omnidian

Omnidian

Senior Data Scientist

Remote, US · Senior

Sponsorship not specified$117k-$146kDetected 6 days ago
PythonSQLDatabricksAWSAzureCloud PlatformsMachine LearningTensorFlowPyTorchscikit-learnPandasNumPyData ScienceLLMsMLOpsForecastingLogisticsCommunicationCollaborationMentoringSCADA

About the role

  • 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.
  • Grow with Us - We mentor and invest in our employees and prioritize them for future opportunities.
  • 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.

Responsibilities

  • Lead Issue Detection & Diagnostic Models (60%)
  • 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
  • Explore and prototype new modeling approaches and validate their business impact before investing in production deployment
  • You own outcomes and measure success by the decisions your models improve
  • How you create an impact is ultimately up to you.

Requirements

  • You are rigorous with messy, real-world data.
  • Experience You'll Need
  • 6+ years in applied data science
  • Strong hands-on experience with time-series methods: anomaly detection, forecasting, seasonal decomposition, state-space models

Nice to have

  • 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

Skills

  • Senior Data Scientist
  • Staff Data Scientist
  • Principal Data Scientist

Compensation

  • We provide outstanding benefits including family medical, dental, vision, disability, 401(k) administration and $1k match per year and thoughtful paid time off

Benefits

  • 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
  • Develop machine learning models that detect underperformance, faults, and anomalies in PV and storage system time-series data
  • Omnidian, Inc. is a fast-growing Series C tech-enabled service company revolutionizing performance assurance for the distributed solar and energy storage industries.

Company info

  • 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.
  • 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:
  • At Omnidian we believe in trust and autonomy.
  • We are a certified B Corp, headquartered in Seattle, WA
  • We are seeking a Senior Data Scientist to design, build, and scale advanced detection and diagnostic models for solar and storage assets.

Visa & Work Authorization

  • 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
Apply directly at Omnidian →Create a free account for alerts like thisView Omnidian immigration profile

This listing is sourced directly from Omnidian's careers page and normalized into a canonical job model.