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Data Scientist
Posted on 3/15/2023
Remote • Chicago, IL, USA • St. Petersburg, FL, USA
Experience Level
Desired Skills
Computer Vision
Data Science
Data Structures & Algorithms
Natural Language Processing (NLP)
  • 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
  • 2-5 years working experience developing ML models
  • Insurance experience preferred
  • 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
  • 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
Kin Insurance

201-500 employees

Personalized home insurance solutions
Company Overview
Kin’s mission is to reimagine home insurance For Every New Normal. The company has proprietary technology and a direct-to-consumer model, Kin provides affordable pricing without compromising coverage, even in areas most impacted by climate change.
  • Medical, dental, and vision
  • Life & disability
  • Commuter benefits
  • 401k
  • Education & professional development
  • Flexible PTO
  • Company provided lunch