Director Of Data Science at Kin

So, what’s the role?
We are looking for a Director of Data Science to join us in transforming the way data & analytics is used in insurance. Since we tackle insurance differently, we are looking for this individual to bring their expertise and knowledge to the team while also working to innovate and continually find more effective and efficient ways to grow our business profitably, while retaining our best customers.
You’ll have the opportunity to build out a team of highly skilled data scientists and develop an analytics strategy as Kin expands into new states and product lines. This position will work closely with each business unit to brainstorm, develop, and operationalize various predictive models to drive business results.
In addition, you’ll have a unique opportunity to work side-by-side with our growing data engineering & MLops teams to contribute to the model development and implementation engineering strategy.
A day in the life could include: 

Recruit, onboard, and develop a team of highly skilled data scientists
Work alongside business partners to build out a data science vision, strategy, & roadmap
Translate business objectives into analytics solutions and translate results into business insights using appropriate data science applications
Collaborate with the engineering team to research and recommend tools to assist with the development and productionalizing of ML models
Contribute & lead the development of industry-leading predictive models, including profitability & price sensitivity models
Communicate technical findings to both technical & non-technical peers & leaders
Identify, integrate, and parse large data sets, combining data from disparate sources to identify insights and patterns using traditional as well as predictive and prescriptive analytics.
Develop data science best practices and basic analytics training across the organization 

I’ve got the skills… but do I have the necessary ones?

10 years+ experience developing and leveraging predictive models / machine learning to drive business results
5 years+ experience managing data scientists, developing both individual contributors and people leaders
Insurance experience strongly preferred
Proficient in Python and various ML frameworks (e.g. scikit-learn, h2o, xgboost)
Experience working with tools to develop and implement predictive models (i.e. Domino Data Labs, Sagemaker, etc…)
Experience operationalizing & scaling predictive models in production to solve real world problems
MS or PhD in Computer Science, Statistics, or related field preferred
Strong interpersonal and communication skills, including the ability to explain and discuss technical concepts to peers and leaders from other disciplines
Experience working with remote/distributed teams is strongly desired.
Familiarity with the full ML Ops cycle.
Demonstrated track record of thinking outside the box to use new data sets to influence outcomes.

 
Oh, and don’t worry, we’ve got you covered! 

Medical, Dental and Vision Insurance
Flexible PTO policy 
Very generous equity options and 401K
Parental Leave
Continuing education and professional development 
Disability and Life Insurance 
The excitement of joining a high-growth Insurtech company and seeing your work make an impact