Nauto
Staff Data Scientist
San Francisco Bay Area · Staff+ · Full-time
Sponsorship not specified$180k-$235kDetected 286 days ago
PythonAlgorithmsSQLAWSGCPMachine LearningDeep Learningscikit-learnPandasSparkData AnalysisData ScienceData VisualizationComputer VisionStatisticsLogisticsCustomer SuccessLeadershipCommunication
About the role
- 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.
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.
- Embraces scientifically rigorous mindset to algorithm development based on well designed experiments using real-world data to evaluate, validate and iterate
Requirements
- M.Sc. required, Ph.D. a plus in Computer Science, Statistics, Math, Physics or similarly quantitative-heavy field
Compensation
- The US base salary range for this full-time position is $180,000 - $235,000.00.
Benefits
- We also have all the best benefits, including:
- Comprehensive Benefits Program; Healthcare Spending Accounts (FSA, HSA) & 401(k)
- Generous Equity Program
- Pre-tax Commuter Program
- Flexible Work Environment
- Up to 20 Weeks of Parental Leave
- Flexible, Unlimited PTO
- Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity or benefits.
- We are committed to creating a diverse and inclusive environment that fosters learning from each other.
- Expertise in a wide range of machine learning techniques, including deep learning, reinforcement learning, and statistical modeling
- 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).
- Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education and/or training.
Equal opportunity
- We are an equal opportunity employer and are committed to providing a work environment free of harassment and discrimination.
This listing is sourced directly from Nauto's careers page and normalized into a canonical job model.