Senior 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 !

About the Role:

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 – working independently to ship measurable uplift on the AI capabilities at the heart of our products.

How you will make an impact:

• 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.

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

• 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.

Skills needed to succeed:

• 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
• 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
• Hands-oncomprehensiveexperience with deep learning frameworks such asPyTorchor Tensor Flow, and an understanding of modernAIarchitectures (e.g., Transformers, Neural Networks, LLMs).
• Advancedproficiencyin Python and its core data science ecosystem (e.g., Pandas, Num Py, Scikit-learn,LightGBM, etc.)
• Strong technical communication and collaboration skillswithinagile squads and DS leadership
• FamiliaritywithSQL, Relational databases, andcloud environments like AWS/Azure/Google/Databricks
• MLOpsand hands-on experience taking models from notebook to production —Experiment tracking,packaging, containerization (Docker), model serving and APIs,CI/CD, and pipeline orchestration

Bonus

Qualifications:

• 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

What We Offer:

• A fun, team-oriented startup culture.
• Generous stock options - we all get to own a piece of what we’re building.
• Flexible schedule that supports working from home.
• Full benefits package includes medical, dental, vision,…