My client is a leading Mission-Driven FinTech company that uses Machine Learning to plug the gaps in the American insurance industry, through their powerful platform ecosystem. They were recently acquired in <3 years for more than $3bn. The 'gig-economy' aspect allows their independent agents to work in an Uber-style way, maximizing revenue 24/7/365.

What You'll Do:

Use large data sets to find opportunities for optimization and can leverage appropriate models to test the effectiveness of different courses of action
Work on data mining and analysis methods, a variety of data tools, build and implement models, develop algorithms, and create simulations
Write production-ready code to include testing and maintenance infrastructure, and able to put models and analysis into production with no support from engineering

What You'll Bring:

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 as 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
MS or Ph. D in mathematics, statistics, data science or related field of study
Experience retraining a model within a few days or update a model within one day
Capable of performing in-depth analysis and summarizing findings in one day
Comfortable having conversations with our executive team and non-technical team members to distill down their needs and to deliver actionable insights

On Offer:

Base to $250k
Comprehensive long-term stock/bonus program
Excellent benefits
Flexible working hours/PTO

Senior Data Scientist | $3bn ML FinTech Unicorn