Senior Data Scientist

Gradient AI
Company	Gradient AI
Category	Data & Analytics
Location	Remote
Remote	Remote
Employment	Not stated
Level	Senior
Salary	Not stated by the employer
Posted	4 Aug 2026
Last verified	5 Aug 2026
Source	Employer ATS (greenhouse)
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Description
This is a fully remote opportunity with hybrid available to those local to Boston.    
   Gradient AI:&nbsp;&nbsp;   &nbsp;  &nbsp;  
   Gradient AI is the decision-intelligence partner for the insurance industry, giving customers an advantage in how they make decisions by revealing risk others miss and translating it into stronger performance and real-world impact.  &nbsp;  Our platform harnesses a vast industry data lake&nbsp;  –&nbsp;  tens of millions of policies and claims enriched with economic, health, geographic, and demographic signals&nbsp;  –  &nbsp;integrating cleanly with existing workflows to make complex risk clear, usable, and actionable.  &nbsp;  Our customers include carriers, brokers, consultants, and specialized insurance organizations across the industry.  &nbsp; We are b  acked by $56M in Series C funding&nbsp;  and  &nbsp;scaling fast  &nbsp;–&nbsp;  and&nbsp;  it's  &nbsp;an exciting time to join the team  !   &nbsp;  
   About the Role:&nbsp;&nbsp;   &nbsp;  &nbsp;  
   We are looking for a Senior Data Scientist to advance our core AI models and drive them to market in collaboration with data science, product, and engineering partners. In this role, you will own well-scoped models end-to-end  &nbsp;–&nbsp;  working independently to ship measurable uplift on the AI capabilities at the heart of our products.   &nbsp;  
   How you will make an impact:   &nbsp;  
 
  Leverage the best&nbsp;of modern&nbsp;deep learning&nbsp;&amp;&nbsp;large language models&nbsp;with&nbsp;traditional data science techniques&nbsp;to create powerful hybrid models with&nbsp;real uplift.  &nbsp;  
  Brainstorm, prototype,&nbsp;prove,&nbsp;deploy, and realize the value of your work in&nbsp;market&nbsp;quickly.  &nbsp;  
  Everything&nbsp;you would expect&nbsp;on&nbsp;a world-class data science team&nbsp;solving world-class problems.&nbsp;&nbsp;Big data.&nbsp;&nbsp;Federated learning.&nbsp;&nbsp;Unstructured data challenges.&nbsp;&nbsp;Timeseries and sequence&nbsp;modelling.&nbsp;&nbsp;A self-serve buffet of techniques from GLMs&nbsp;to&nbsp;XGBoost&nbsp;to Transformers.  &nbsp;  
  Tell&nbsp;stories with your data.&nbsp;&nbsp;Inspire&nbsp;trust in customers, stakeholders, and prospects&nbsp;by turning murky math into a powerful message that&nbsp;drives the bottom line.  &nbsp;  
 
   Who you are and why we want to work with you:   
 
  You&nbsp;like getting things over the line.&nbsp;&nbsp;You have an insatiable desire to deliver value now and improve next.&nbsp;&nbsp;MVP perfection is achieved not when&nbsp;there is nothing more to add, but&nbsp;when&nbsp;there is nothing left&nbsp;to take away.  &nbsp;  
  You are not a software engineer, but you give them a run for their money.&nbsp;&nbsp;You prefer&nbsp;Python to&nbsp;R and&nbsp;don’t&nbsp;understand why&nbsp;there is&nbsp;still a debate.&nbsp;&nbsp;Jupyter is&nbsp;a necessary evil, and&nbsp;you’ve&nbsp;never met a command line that scared you away.  &nbsp;  
  You&nbsp;still&nbsp;do a better job than Claude,&nbsp;and&nbsp;you’re&nbsp;skeptical of your friends&nbsp;who&nbsp;say they never code any more.  &nbsp;  
  You love to take initiative&nbsp;and spearhead new projects, even if they are not well defined.  &nbsp;  
  You build systems bigger than you. You contribute to open source, build packages your peers want to use, or design frameworks to elevate your team.&nbsp;&nbsp;Reuse is a strategy, not a buzzword.  &nbsp;  
 
   Skills needed to succeed:    &nbsp;  &nbsp;  
 
 Bachelor's degree in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 3-5 years of professional data science experience building predictive models&nbsp; 
 OR Master’s or Ph.D in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 1-2 years of professional data science experience building predictive models&nbsp; 
  Hands-on&nbsp;comprehensive&nbsp;experience with deep learning frameworks such as&nbsp;PyTorch&nbsp;