Minimum Qualifications:

• 3+ years of demonstrable expertise building and supporting machine learning models deployed to production
• Expert in Python and core libraries used by data scientists (Numpy, Scipy, Pandas, Scikit-learn, Matplotlib/Seaborn, etc.)
• Experience using Jupyter notebooks
• Experience working with large and/or noisy data sets 

• Machine learning: Kaggle grandmaster-level skills with history of deploying models to production
• Telematics experience: You have led telematics modeling at a major company known for telematics 

• Deep learning: Experience contributing new deep learning research to solve previously unsolved problems
• Telematics experience: You have led telematics modeling at a major company known for telematics

Additional details:

• Salary: We pay competitive salaries factoring in experience, skill set, and location.  We do not offer equity.
• We provide a wide-selection of health and welfare benefits including medical, dental, vision, life insurance, and supplemental income plans. We also offer a 401(k) Plan with a company match.
• Wellness and Time Off: We provide Headspace subscriptions, a wellness allowance, and generous time off including four weeks of PTO in the first year of employment with additional time granted upon hire. New parents may also take eight weeks of fully paid parental leave (plus four weeks for parents who give birth) which may be taken within one year after the birth and/or the adoption of a child.
• Professional learning and growth: We provide a generous allowance each year for professional learning, continuing education, and career development.
• Location: May work from anywhere in the US, but will need to be actively available during core meeting hours from 9:00AM - 3:00PM pacific time to collaborate with team members across all time zones. 
• Some travel may be required after the San Francisco office re-opens.
• Candidates based in the SF Bay Area will be able to commute to the SF office for in-person meetings and other gatherings. Frequency TBD.