So, what’s the role?

At Kin, we are modernizing and simplifying a 100-year-old industry through the use of data & technology. The data science team at Kin is a centralized department supporting the rest of the organization, including underwriting, claims, insurance product, operations, finance, and marketing. The Senior Data Scientist role will build machine learning and AI models to deliver value to all these business units and more. We want to hire someone with a diverse methodological skill set, who enjoys digging into data and using it to solve business problems, whatever they may be. Because we are building the team, there is ample opportunity for creative freedom and flexibility.

A day in the life could include: 

• Development of GLM and tree-based models to predict profitability of each insured.
• Working with data engineering & business intelligence to develop modeling datasets, and contributing to the buildout of these data models
• Build ensemble algorithms to predict customer retention & conversion
• Automation of Kin’s direct mail strategy
• Creation of a lifetime value model to prioritize marketing by person/property and marketing initiative
• Researching advanced AI techniques to advance the industry, including building a computer vision model, and developing state of the art NLP models to interpret documents and assist in claims handling.
• Ideating Machine Learning use cases with business partners; gathering requirements, testing feasibility, etc.

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

• Bachelor’s degree or Masters in Machine Learning, Statistics, Mathematics, Computer Science, Economics, or a related field
• Masters / PhD in a technical field preferred
• Experience developing GLMs & tree-based models
• Experience mentoring and providing technical oversight to ML teams
• 5-7+ years working experience developing ML models
• Familiarity with tools used to develop and implement predictive models (i.e. Domino Data Labs, Sagemaker, Docker, etc…)
• Experience interfacing with business partners to define data science projects and solutions
• Must have experience in applied mathematics or statistics 
• Experience in programming in Python and understanding of the software development life cycle
• Excellent communication skills, both oral and written
• Familiarity with natural language processing models a plus
• Interest or experience in highly regulated and / or startup environment(s)
• Passion for telling stories with data

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

• Medical, Dental, Vision, Disability + Life Insurance
• Flexible PTO policy
• Remote work
• Generous equity package
• 401K w/ company match
• Parental leave
• Continuing education + professional development
• The excitement of joining a high-growth Insurtech company and seeing your work make an impact