Archer is looking to advance sustainable air mobility by designing, manufacturing, and operating an all-electric aircraft, and this role is to improve product integrity, regulatory compliance, and manufacturing outcomes through data analytics.
Requirements
- 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
- Strong foundation in statistical analysis, root cause methodologies, and predictive modeling
- Familiarity with FAA certification processes, flight test data, reliability analysis techniques (e.g., Weibull modeling, survival analysis, telemetry interpretation)
- Knowledge of MLOps practices or productionizing models in real-world operational settings
Responsibilities
- Lead trusted-definition analytics programs that drive end-to-end insight deployment
- Drive measurable business impact by tracking and improving outcomes such as defect reduction, cycle time improvements, or regulatory compliance through analytics and experimentation
- 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
- Work autonomously on potentially undefined projects that span multiple teams, functions, and systems
- Incorporate ethical, curious, and stakeholder-centric approaches to analytics that foster trust, promote adoption, and influence decisions across engineering, quality, and certification domains
Other
- Bachelor’s degree in a quantitative or technical field (e.g., Statistics, Data Science, Engineering, Computer Science)
- 7–10+ years of experience in data science, analytics, or applied statistics
- Excellent written and verbal communication skills, including the ability to present insights to stakeholders at all levels
- No work visa sponsorship for this position at the present time
- Ability to work in an aerospace company based in San Jose, California
