Job description


Job Summary: We are seeking a talented Data Scientists to join our growing Engineering Team. This is a Remote opportunity that will be responsible helping define how our Claims and Underwriting products evolve for the industry. You will do this through user research, rapidly prototyping new features, implementing Machine Learning Systems, and delivery our customers actionable intelligence from large data sets.

Top Must-Have Skills for this job:

  • 5+ years of professional experience as a Data Scientist
  • Hands-on experience building and productionizing Machine Learning Models (Neural Networks, Random Forest, etc.)
  • Strong experience in Python scripting and libraries (such as Pandas, NumPy, and PyTorch)
  • Fluency in SQL and/or PostgreSQL
  • Experience working with insurance data or building insurance models (nice to have)
  • Master of Science or PhD (required)



  • Master's degree or higher
  • A Data Scientist role (5+ years)
  • 3+ years experience with any of the following:


o PostreSQL

o Machine Learning Models

  • Are you fully vaccinated for COVID-19? *Full vaccination = 2 or more weeks have passed since the second dose in a 2-dose series (Pfizer or Moderna vaccines) or since the first dose in a single-dose vaccine (Johnson & Johnson’s Janssen vaccine). Vaccine must be approved/authorized by the FDA?
  • Are you willing and able to provide proof of full vaccination to HR at least 1 week prior to your start date?


  • What Python libraries or frameworks have you used before (Pandas, NumPy, Pytorch, Tensorflow, etc.)?
  • Do you have experience working with insurance data or building insurance models? If yes, please explain that experience.
  • What are your minimum salary expectations to consider making a move?
  • What types of Machine learning models have you built (neural networks, random forest, gradient boosted trees, logistic/linear regression)?

Full Benefits (Medial, Dental, Vision) • 401K • Unlimited PTO, Paid Holidays • Equipment Provided • Remote Opportunity • And much more! Schedule: Monday-Friday, 8-5pm, Remote

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