Blue Owl
Data Scientist ($250k - $450k)
Our Mission
We’re here to create a safer, happier and more mindful future for all with the help of data science, engineering, design, and mobile technology. We're starting by reinventing insurance, by rethinking the technologies that enable it, but our true goal is to build a platform that rewards people for driving well — creating safer roads with fewer accidents in the process.
Backed by impressive funding, we're poised to re-engineer a trillion-dollar category. We’re using rich customer insights, advanced technology and data science to build our cloud-native InsurTech solution. We're out to change behavior and promote mindful living.
Job Requirements
You must have all the skills and experiences associated with one of the options below. These options change over time and reflect the current needs of the team.
Option one - Telematics ML
- 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
- Software development in Python: Strong scientific Python skills using pandas, scikit-learn, and statsmodels, as well as strong understanding of model deployment patterns
Option two - Telematics DL
- 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
- Software development in Python: Strong scientific Python skills using pandas, scikit-learn, and statsmodels, as well as strong understanding of model deployment patterns
Option Three - Contact Center Optimization
- Contact center knowledge: You are an expert at using data science methods to optimize contact centers
- Machine learning: Strong understanding of ML theory with significant applied experience
- Software development in Python: Strong scientific Python skills using pandas, scikit-learn, and statsmodels, as well as strong understanding of model deployment patterns
Additional Details:
- Salary: We pay top-of-market salaries for most positions, factoring in experience, talent, and location. We do not offer equity.
- Benefits: Medical, dental, vision, 401(k), wellness reimbursement, four weeks of PTO, six weeks of parental leave (12 weeks for parents who give birth), and great work-life balance.
- Location: May work from anywhere in the US, but will need to be actively available during the core business hours of 9:00AM - 5:00PM, PST, since a majority of time will be spent collaborating with team members in this time zone.
- Some travel required once the San Francisco office re-opens. Frequency 1/quarter.
- Candidates based in the SF Bay Area will be able to commute to the SF office, post-COVID, for in-person collaboration purposes and other gatherings. Frequency TBD.
All are welcome at Blue Owl. We are an equal opportunity and affirmative action employer who values diversity and inclusion and looks for applicants who understand, embrace and thrive in a multicultural world. We do not discriminate on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
If you are a San Francisco resident, please read the City and County of San Francisco's Fair Chance Ordinance notice.
BlueOwl, using data science and mobile technology to re-engineer a better future for all of us.
- Employees
- 51-200 employees
- Industry
- Internet Software & Services
Data Scientist