Principal Data Scientist

This is a fully remote opportunity with hybrid available to those local to Boston.

Gradient AI:    

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. Our platform harnesses a vast industry data lake – tens of millions of policies and claims enriched with economic, health, geographic, and demographic signals – integrating cleanly with existing workflows to make complex risk clear, usable, and actionable. Our customers include carriers, brokers, consultants, and specialized insurance organizations across the industry.  We are backed by $56M in Series C funding and scaling fast – and it's an exciting time to join the team! 

About the Role:    

We are looking for a Principal Data Scientist with deep, specialized expertise to lead our organization's most complex and high-impact modelling and analytical initiatives. As a recognized technical authority, you will set modelling strategy across the organization, drive our most novel work, and raise the technical standard for how we build and ship models. 

How you will make an impact: 

• Leverage the best of modern deep learning & large language models with traditional data science techniques to create powerful hybrid models with real uplift. 
• Brainstorm, prototype, prove, deploy, and realize the value of your work in market quickly. 
• Everything you would expect on a world-class data science team solving world-class problems.  Big data.  Federated learning.  Unstructured data challenges.  Timeseries and sequence modelling.  A self-serve buffet of techniques from GLMs to XGBoost to Transformers. 
• Tell stories with your data.  Inspire trust in customers, stakeholders, and prospects by turning murky math into a powerful message that drives the bottom line. 

Who you are and why we want to work with you:

• You like getting things over the line.  You have an insatiable desire to deliver value now and improve next.  MVP perfection is achieved not when there is nothing more to add, but when there is nothing left to take away. 
• You are not a software engineer, but you give them a run for their money.  You prefer Python to R and don’t understand why there is still a debate.  Jupyter is a necessary evil, and you’ve never met a command line that scared you away. 
• You still do a better job than Claude, and you’re skeptical of your friends who say they never code any more. 
• You love to take initiative and spearhead new projects, even if they are not well defined. 
• 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.  Reuse is a strategy, not a buzzword. 

Skills needed to succeed:   

• Bachelor's degree in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 8+ years of professional data science experience building predictive models 
• OR Master’s or Ph.D in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 5+ years of professional data science experience building predictive models 
• Expert-level knowledge of deep learning and ML algorithms and the core Python data science ecosystem.  
• Strong communication and collaboration skills, particularly communicating with nontechnical stakeholders and leadership, and helping to pivot technical roadmaps to deliver their intended value rapidly 
• Deep experience with natural language, medical data, long-tail predictions, or similar related problem spaces 
• Strong familiarity with all phases of the MLOps model lifecycle, with experience creating team st