AS A DATA SCIENTIST YOU WILL:
Collaborate with insurance domain experts and engineering team members to predict insurance claims based on hundreds of different variables using sophisticated data science techniques.
Support the production of new data sources (e.g. web scraping, public/private APIs,) in a manner that minimizes development cycles while maximizing potential business applications.
Continuously challenge how we can improve our underwriting while reducing the number of questions that need to be answered in an application.
Maintain a clean production environment such that the data models can be easily interpreted and built upon by other data science and engineering team members.
Present your work, findings, and opinions to both technical and non-technical stakeholders.
Build and support a team of data scientists and analysts to accelerate our learnings and elevate our product offerings.
WE LOOK FOR TEAMMATES WHO HAVE:
Bachelor/Master in quantitative discipline (computer science, mathematics, statistics, economics, physics, engineering or related field).
3+ years of experience as a data scientist, data analyst or machine learning
Experience training machine learning models that have been deployed to execute business decisions
5+ years experience with Python, including the typical data science stack (pandas, scikit-learn, numpy, scipy, Jupyter, etc)
Strong understanding of data science metrics and methodologies for measuring model performance
Experience tracking model performance in production
Comfortable building clean, repeatable experiments in a notebook environment
Communications skills for translating technical or statistical analysis results into business recommendations.
Familiarity with the tradeoffs of scaling data infrastructure and database systems.
Bias to practical action and creativity using data (we value past or present projects that support this).