Principal Data Scientist
Electra
- Boulder, Colorado, United States
- Boulder, Colorado, United States
About
Own and evolve Electra’s product data science strategy in partnership with Product leadership, Test, and Reliability teams Develop analytical frameworks that connect lab results → product performance → reliability outcomes, enabling informed tradeoffs and faster iteration Establish metrics and leading indicators for product health (e.g., performance, degradation, failure modes, yield, stability) and drive adoption across teams Build and deploy advanced models for reliability and product behavior, including survival analysis, Weibull, degradation modeling, and lifetime prediction Anomaly detection and early warning systems for test stand and product performance drift Causal inference/quasi‑experimental methods to understand drivers of failure and performance changes Translate model outputs into clear, decision‑ready recommendations for technical and business stakeholders Partner with Test Engineering to improve test plans, sampling strategy, and experiment design (DOE) to maximize learning per test hour and reduce cycle time Define and promote standards for data quality, instrumentation signals, metadata capture, and repeatable analysis so results are interpretable and comparable across runs Collaborate with Reliability Engineering to strengthen failure‑mode analytics, root‑cause investigations, and reliability growth tracking Create scalable analytics tools and “data products” (dashboards, pipelines, notebooks, model services) used by stakeholders across the lab
Qualifications
Bachelor’s degree in computer science, statistics, engineering, or related fields 15+ years of experience in applied data science for complex engineered systems, with a focus on reliability modeling, test, and experimental data Proven track record delivering high‑impact data science solutions in product development, reliability, test engineering, or other complex physical systems (e.g., energy, manufacturing, industrial, hardware, chemicals/materials) Strong expertise in statistical modeling and machine learning, with depth in areas such as reliability statistics (Weibull, survival analysis), degradation and lifetime modeling, time‑series analysis, anomaly detection, and signal processing Advanced software and data skills, including Python and SQL, with experience building reproducible analytics workflows (version control, testing, documentation) and clear data visualizations and dashboards for technical and business audiences Familiarity with deploying analytics at scale (e.g., batch scoring, APIs, MLOps patterns) and translating analytical outputs into reusable tools and data products Demonstrated ability to drive high‑confidence decisions from imperfect or limited data using sound assumptions, sensitivity analysis, and engineering judgment Exceptional stakeholder management skills with the ability to align diverse teams, drive adoption, and influence without authority Strong communication skills (written and verbal) with the ability to explain sophisticated methods and results to non‑experts Comfort operating in a fast‑moving environment with shifting requirements, balancing near‑term deliverables with long‑term strategy Experience working with sensor‑heavy systems, industrial test stands, or manufacturing data at scale
Compensation
The anticipated starting pay range for this position is $175,000‑$215,000 and may be more or less depending upon skills, experience, and education.
Benefits
Benefits for You: 100% paid premiums across all medical, dental, vision, telemedicine, short‑term disability, long‑term disability, and basic life insurance plans; reasonable use PTO; $1,800 in annual employer HSA contributions (health savings account) Benefits for Your Family: 100% paid premiums across all medical, dental, vision, and telemedicine plans; 12 weeks of paid parental leave Benefits for Your Future: 401(k) with up to 5% matching contributions which vest 100% on day one; eligibility for incentive stock options
Location This onsite role is based in Boulder, CO. Accommodations If you need an accommodation during the application or interview process, reach out to us at careers@electra.earth. We’re here to help. Equal Opportunity Employment As set forth in Electra’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. #J-18808-Ljbffr
Languages
- English
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