Staff Data Scientist

Responsibilities

• Design, build and deploy solutions to challenging problems leveraging access to vast real-world data
• Create large datasets to discover insights helpful in developing new approaches and algorithms to advance the state of the art in transportation safety
• Collaborate with multiple teams (Product, Perception, Device Engineering, Customer Success) to identify and clarify business or product questions, to answer and provide feedback, and to translate and refine business questions into tractable analysis, evaluation metrics or mathematical models.
• Location: San Francisco Bay Area (Hybrid)

Benefits

Additional Information

Staff Data Scientist At Nauto you can make an impact at a high-impact company. We believe technology can help prevent collisions and save lives with predictive-AI that detects driver state and vehicle surroundings in real-time. More than 90% of car crashes can be attributed to human error. Nauto technology is designed to predict risk and alerts the driver with advance warning to help prevent collisions, improve driver safety, and save lives. Our customers and prospects include many of the largest commercial fleets in the world along with vehicle manufacturers (OEMs), insurance providers, and autonomous vehicle companies. The company is backed by Greylock Partners, BMW iVentures, General Motors Ventures, Toyota AI Ventures, and SoftBank, and is well-positioned for continued growth. Position Overview We are seeking a highly experienced and strategic Senior Staff Data Scientist to lead high-impact initiatives that drive measurable business value. In this role, you will be a key driver of data innovation, mentor other data scientists, and collaborate cross-functionally with Product, Engineering, and Business leaders to inform decision-making and product development. You will be responsible for designing and deploying cutting-edge machine learning models that analyze vision & sensor data, leading analytical initiatives, and shaping the long-term data science strategy. Your work will directly impact driver behavior, vehicle performance, and operational safety across tens of thousands of commercial fleets. Key Qualifications M.Sc. required, Ph.D. a plus in Computer Science, Statistics, Math, Physics or similarly quantitative-heavy field At least 5+ years of related industry experience Expertise in a wide range of machine learning techniques, including deep learning, reinforcement learning, and statistical modeling Experience working with large-scale datasets with solid understanding of data processing, feature engineering, and data visualization techniques Practical experience with data science and machine learning methods, common cloud-based data analysis tools and frameworks (Spark, SQL, Pandas, Python, R, AWS, GCP, PySpark, scikit-learn, OpenCV, etc). Embraces scientifically rigorous mindset to algorithm development based on well designed experiments using real-world data to evaluate, validate and iterate Strong communication and presentation skills, with the ability to effectively convey technical information to internal and external audiences. Leadership experience is a plus. Start-up experience a plus.

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