Principal Data Scientist

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

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 b acked by $56M in Series C funding and scaling fast – and it's an exciting time to join the team !

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.

• Leverage the bestof modern deep learning&large language modelswithtraditional data science techniques to create powerful hybrid models withreal uplift.
• Brainstorm, prototype,prove,deploy, and realize the value of your work inmarketquickly.
• Everything you would expectona world-class data science team solving world-class problems.
  
  Big data.
  
  Federated learning.
  
  Unstructured data challenges.
  
  Time series and sequence modelling.
  
  A self-serve buffet of techniques from GLMstoXGBoostto Transformers.
• Tell stories with your data.
  
  Inspiretrust in customers, stakeholders, and prospects by turning murky math into a powerful message that drives the bottom line.

• Youlike getting things over the line.
  
  You have an insatiable desire to deliver value now and improve next.
  
  MVP perfection is achieved not whenthere is nothing more to add, butwhenthere is nothing leftto take away.
• You are not a software engineer, but you give them a run for their money.
  
  You prefer
  
  Python toR anddon’tunderstand whythere isstill a debate.
  
  Jupyter isa necessary evil, andyou’venever met a command line that scared you away.
• Youstilldo a better job than Claude,andyou’re skeptical of your friendswhosay 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.

• 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 ofdeep 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 theMLOpsmodel lifecycle, with experiencecreatingteamstandards and practices to enforce quality and speed
• Deep experience being accountable for model impact long term – fromMLOpspipelines tomonitor fordrift, to KPI and impact monitoring, driving incremental and long-term improvements, triaging issues, addressing tech debt responsibly, etc.

• Fluency with actuarial methods and working with actuaries is a plus
• Familiarity with healthcare and medical data
• Familiarity with underwriting and claims, or predicting long-tailedand/or rare events

• A fun, team-oriented startup culture.
• Generous stock options - we all get to…