I am looking for a Senior Data Scientist to join a leading Mission-Driven FinTech company that uses Machine Learning to plug the gaps in the American insurance industry.

Responsibilities:

You will be adept at using large data sets to find opportunities for optimization and can leverage appropriate models to test the effectiveness of different courses of action.
The team uses a variety of data mining and analysis methods, a variety of data tools, builds and implements models, develops algorithms, and creates simulations.
You must be very comfortable writing production-ready code to include testing and maintenance infrastructure, and able to put models and analysis into production with no support from engineering.
You thrive in a fast-paced environment where priorities can shift rapidly as they corner opportunity.
You can work independently, with little oversight or guidance.

Experience:

Proficiency in either Python or R, and expertise in SQL.
Experience working with AWS or another cloud-based computing platform.
Experience and working knowledge of data infrastructure, pipelines, and advanced data manipulation.
Experience with BI tools like Tableau or Looker (preferred), or any other industry tool such Qlik, PowerBI, Spotfire, etc.
Excellent communication ability – you can explain your work in a way that anyone on the team can understand, and you can frame problems in a way that ensures the right question is being asked.
Business Acumen – you are always eager to understand how the business works, and more specifically, how your work impacts the business.
Enthusiastic yet humble – you are excited about the work you do, but you are also humble enough to embrace feedback – you don’t need to be the smartest person in the room.
Bachelor's degree in mathematics, statistics, data science or related field of study.

On Offer:

Competitive base salary
Impressive cash/stock bonus scheme
Excellent benefits
Flexible hours / WFH