Staff 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 Staff Data Scientist to lead complex modelling and analytical projects of broad and diverse scope. You will drive cross-product initiatives with minimal direction, setting the technical approach where problems are ambiguous and raising the bar for the entire data science team.

• Leverage the bestof moderndeep 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 teamsolving world-class problems.
  
  Big data.
  
  Federated learning.
  
  Unstructured data challenges.
  
  Time series and sequencemodelling.
  
  A self-serve buffet of techniques from GLMstoXGBoostto Transformers.
• Tellstories with your data.
  
  Inspiretrust in customers, stakeholders, and prospectsby 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’reskeptical 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 5+ 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 3-5 years of professional data science experience building predictive models
• Advancedproficiencywith deep learning frameworksand the core Python data science ecosystem, anda deep understanding of modernAIarchitectures (e.g., Transformers, Neural Networks, LLMs) and related ML fields
• Strong technical communication and collaboration skills, particularly communicating with nontechnical stakeholders and working collaboratively with engineering/product teams to meet project goals and timelines
• MLOpsand hands-on experience taking models from notebook to production —Experiment tracking,packaging, containerization (Docker), model serving and APIs,CI/CD, and pipeline orchestration
• Monitoring models in production–tracking data and concept drift and performance degradation, with alerting
• Strong peer leadership and ability to mentor junior DSon best practices and problem solving.
  
  Experience setting and improving team standards.

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

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