Omnidian

Director of Data Science

Omnidian

full-time

Posted on:

Origin:  • 🇺🇸 United States • Washington

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Salary

💰 $167,900 - $304,750 per year

Job Level

Lead

Tech Stack

ApacheAWSCloudGoogle Cloud PlatformPandasPythonSpark

About the role

  • Lead, mentor, and grow a high-performing team of data scientists and ML engineers
  • Foster a culture of innovation, collaboration, and rapid delivery
  • Develop and execute the data science roadmap and strategy, aligned with company goals
  • Set clear priorities and measure impact against KPIs
  • Integrate predictive and prescriptive analytics into core technology and processes
  • Architect and oversee scalable, production-ready data pipelines and ML models
  • Collaborate with Engineering, Product, and Operations to prioritize and execute high-value opportunities
  • Serve as a subject matter expert in renewable energy data science
  • Represent Omnidian at industry events, conferences, and with key stakeholders
  • Advocate for best practices in data science and ML deployment
  • Engage directly with clients to understand needs, present insights, and demonstrate value
  • 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
  • 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 stacks (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.
  • 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
  • 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, BIPOC, Thriving Survivors, Vets at Omnidian, Black Lights Matter and Neurospicy R Us
  • We are a passionate, mission driven team that believes in collaboration, mutual respect and trust. For examples, come Discover our Story!

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 stacks (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.