We’re hiring a Data Scientist in Columbus, OH

About the Company
Root Insurance is the world's first mobile-only, usage-based-insurance-only car insurance company! Located in Columbus, Ohio, Root was founded in 2015 with the goal of solving the following problem: good drivers pay FAR too much for car insurance. If the sensors in your smartphone prove to us that you are a safe driver, then we will give you an unbeatable price, which we can afford to do since we don't sell insurance to dangerous drivers. Other guiding principles at Root are the improvement of UX via extensive testing, and the achievement of efficiency through modern technology and paradigms. Root currently has around 150 employees, but we are growing very rapidly! Root is an exciting, happy, inclusive place to work, where you are free to be yourself. Employment at Root includes a competitive benefits package including a flexible vacation policy, a 401K with partial company match, paid health insurance for the employee, etc. Root has raised almost $200 million in venture capital funding to date, and we recently closed our Series D, raising $100 million in capital at a $1 billion valuation in August 2018.

The Job:
Root is seeking a data scientist to help our team add business value by leveraging vast quantities of data and building more accurate predictive models. Examples of some of the rich data sources we work with include smartphone telematics sensor data, marketing campaign results, and unstructured data from claims notes, phone calls, etc. The ideal candidate will have experience putting well-defined parameters around potentially ambiguous problems, evaluating success based on business-important criteria, and applying modern machine learning techniques to large datasets. This may include querying/scraping/otherwise procuring datasets, cleaning/munging, signal processing, feature engineering, model choice/evaluation, and validation using reproducible methods and scalable architecture. Particular attention will also be paid to the interface between R&D environments and productionizing models. Furthermore, the candidate will need the ability to learn new tools on the fly and be adaptable to changing requirements.

Key Problems Include:
- Mining text data for use in classification / predicting business outcomes.
- Building anomaly detection models to determine fraudulent activity, unexpected trends in data, etc.
- Applying machine learning to image classification for key business applications.
- Identifying, evaluating, and productionizing new data sources (e.g. geospatial data, web scraping, cell phone sensors).
- Predictive modeling related to improving insurance pricing.

Minimum Qualifications

  • Strong programming skills, especially R and/or Python
  • Demonstrated experience in building, validating, and leveraging machine learning models
  • Demonstrated skill with data mining, data munging, coping with missing / corrupt / unstructured data
  • 1+ years of industry experience building predictive models OR graduate-level research in a relevant area

Preferred Qualifications

  • Master's degree or Ph.D. in mathematics, physical sciences, engineering, or other technical discipline
  • 3+ years of industry experience building predictive models
  • Experience using big data tools (e.g. Hadoop, Spark) and cloud computing (AWS preferred)
  • Experience with version control (git/GitHub preferred)
  • Advanced knowledge of physics, linear algebra, probability/statistics
  • Experience building insurance pricing models

Get in touch

Finding the right people to help us build Root is a top priority. Whether you would like to explore the possibility of working together or simply learn more about the position, we’d love to hear from you!

Apply now