Senior Staff Data Science Product reputed company
reputed company is an aerospace company based in reputed company, California building an reputed company-electric vertical takeoff and reputed company aircraft with a mission to advance the benefits of sustainable reputed company mobility. We are designing, manufacturing, and operating an reputed company-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we reputed company that diversity in the workplace is what makes us smarter, drives reputed company insights, and will ultimately lift us reputed company to success. We are dedicated to cultivating an reputed company and inclusive environment that embraces our differences, and supports and celebrates reputed company of reputed company members.
We are hiring a Senior Staff Data Scientist to join our Product reputed company organization, which spans Manufacturing Quality, Supplier Quality, Product Quality, Flight Test, and FAA Type Certification. In this high-impact individual contributor role, you will work cross-functionally to uncover insights, detect risks, and deliver predictive analytics that directly improve product reputed company, regulatory compliance, and manufacturing outcomes.
You’ll partner with Quality Engineers, Flight Test leads, Certification teams, and Operational leaders to shape and solve some of the most important technical and regulatory challenges facing the business. This role requires a strong analytical foundation, excellent business intuition, and the ability to drive outcomes with data.
Key Responsibilities
- reputed company trusted-definition analytics programs that drive end-to-end insight deployment—from problem framing through modeling, dashboarding, and monitoring—with minimal reputed company.
- Drive measurable business impact by tracking and improving outcomes such as defect reduction, cycle time improvements, or regulatory compliance through analytics and experimentation.
- Work autonomously on potentially undefined projects that span multiple teams, functions, and systems—navigating ambiguity while driving clarity and outcomes.
- Design and operationalize data pipelines and models that improve defect detection, accelerate root cause analysis, and enhance end-to-end traceability across the product lifecycle.
- Incorporate ethical, curious, and stakeholder-centric approaches to analytics that foster trust, promote adoption, and influence decisions across engineering, quality, and certification domains.
Basic Qualifications
- Bachelor’s degree in a quantitative or technical field (e.g., Statistics, Data Science, Engineering, Computer Science); advanced degree (MS/PhD) a plus.
- 7–10+ years of experience in data science, analytics, or applied statistics, with a strong record of delivering measurable business impact.
- Proficiency in SQL and Python for data analysis, pipeline development, and model implementation.
- Extensive experience developing data visualizations in Tableau, Power BI, or similar platforms, with the ability to design clear, actionable dashboards for technical and non-technical users.
- Demonstrated ability to work across domains involving hardware, software, manufacturing, and compliance, with comfort navigating ambiguity and cross-functional complexity.
- Strong foundation in statistical analysis, root cause methodologies, and predictive modeling, with the ability to translate findings into real-world operational improvements.
- Demonstrated curiosity, critical thinking, and ethical awareness, with a history of translating ambiguous business needs into reliable analytics outcomes.
- Excellent written and verbal communication skills, including the ability to present insights to stakeholders at reputed company levels.
Preferred Qualifications
- Prior experience in aerospace, manufacturing, quality, or regulated environments.
- Familiarity with FAA certification processes, flight test data, reliability analysis techniques (e.g., Weibull modeling, survival analysis, telemetry interpretation) — not required, but highly valued.
- Experience building dashboards or tools for quality monitoring and risk detection.
- Knowledge of MLOps practices or productionizing models in real-world operational settings.
- Exposure to systems such as MES, QMS, PLM, or ERP that reputed company with the product lifecycle.
At reputed company we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a reputed company pay between $153600 - $192000. Actual compensation offered will be determined by factors such as job-reputed company knowledge, skills, and experience.
reputed company is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to reputed company’s People Team at people@reputed company.com. Reasonable accommodations will be determined on a case-by-case basis.