Agentic AI and Data Science Engineer
About The Position
This position will help accelerate the organization’s AI journey by applying data science expertise to gather, structure, analyze, and interpret engineering data that improves predictability, decision-making, and product outcomes. Partner with firmware, product, quality, and program teams to identify the right data sources, define meaningful metrics, and convert complex data into actionable insights that enable more predictable execution and delivery. Develop analytical models, dashboards, and feedback loops that help teams understand trends, risks, dependencies, and leading indicators across the development lifecycle. The successful candidate will have a strong foundation in data science, statistics, machine learning, data engineering, and analytical problem-solving, with the ability to translate engineering and business questions into measurable insights and practical recommendations.
Requirements
- Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Data Science, Statistics, Mathematics, Electrical Engineering, or a related field and 8+ years of experience, or Master’s degree in the same fields and 6+ years of experience, or PhD and 3+ years of experience or equivalent education and experience.
- Strong data science background, including statistical analysis, machine learning, data visualization, and experience deriving insights from large and complex data sets.
- Experience with Python, SQL, data pipelines, analytics platforms, and visualization tools used to collect, cleanse, model, and communicate engineering data.
- Programming experience in C/C++.
Nice To Haves
- Embedded firmware background.
Responsibilities
- Gather, structure, analyze, and interpret engineering data to improve predictability, decision-making, and product outcomes.
- Partner with firmware, product, quality, and program teams to identify data sources and define metrics.
- Convert complex data into actionable insights for predictable execution and delivery.
- Develop analytical models, dashboards, and feedback loops to understand trends, risks, dependencies, and leading indicators.
- Translate engineering and business questions into measurable insights and practical recommendations.
Benefits
- Eligibility to participate in a discretionary bonus program
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Short-term disability
- Long-term disability
- 401(k)
- Employee stock purchase plan
- Health savings account
- Dependent care spending accounts
- Healthcare spending accounts
- 12 paid holidays
- Flexible time off
- A minimum of 48 hours of paid sick leave
- 16 weeks of paid parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Senior
