Hybrid opportunity at
ZooxStaff Data Scientist - Behavior Evaluation
Zoox is building a ground-up, fully autonomous vehicle fleet along with the ecosystem needed to launch this mobility-as-a-service technology in urban areas. Operating at the intersection…
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About This Role
Zoox is building a ground-up, fully autonomous vehicle fleet along with the ecosystem needed to launch this mobility-as-a-service technology in urban areas. Operating at the intersection of machine learning, design, and robotics, the organization seeks a Staff Data Scientist - Behavior Evaluation to join its collaborative and fast-moving team. In this hybrid role, the professional will shape self-driving systems by solving difficult data problems and advancing statistical modeling and machine…
Job Description
Zoox is building a ground-up, fully autonomous vehicle fleet along with the ecosystem needed to launch this mobility-as-a-service technology in urban areas. Operating at the intersection of machine learning, design, and robotics, the organization seeks a Staff Data Scientist - Behavior Evaluation to join its collaborative and fast-moving team.
In this hybrid role, the professional will shape self-driving systems by solving difficult data problems and advancing statistical modeling and machine learning. The position involves interpreting massive datasets derived from simulation and fleet sources, designing new algorithmic approaches, and validating system performance and safety through thorough testing.
This opportunity is well-suited for an experienced quantitative professional who enjoys collaborating with engineers and researchers, mentoring junior team members, and translating intricate technical insights for various audiences.
Responsibilities
- Examine large datasets sourced from simulation and fleet operations to uncover actionable insights
- Create and assess innovative algorithms for feature engineering, model training, data processing, and performance optimization
- Validate and test model performance rigorously to guarantee system safety and reliability
- Share technical results and recommendations clearly with technical and non-technical stakeholders
- Guide and mentor junior engineers and data scientists
Requirements
- Master or PhD degree in Computer Science, Mathematics, Statistics, or an allied quantitative discipline
- Minimum of eight years of professional experience as a Data Scientist
- Proficiency in programming with Python, including Pandas, scikit-learn, and SQL
- Deep knowledge of statistical modeling, deep learning, and reinforcement learning techniques
- Background handling large datasets and distributed computing systems such as Spark and Hadoop
- Competence in data processing, visualization, and feature engineering
Qualifications
- Background working with robotics, control systems, autonomous driving algorithms, or related domains
- Familiarity with low-latency systems and real-time data processing
- Authored publications in prominent autonomous driving or machine learning conferences
Core Skills
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