This job is closed
Applications are no longer available for this announcement. Explore current related opportunities below.
Job description
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 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.
How you will make an impact:
Leverage the bestof moderndeep learning&large language modelswithtraditional data science techniquesto create powerful hybrid models withreal uplift.
Brainstorm, prototype,prove,deploy, and realize the value of your work inmarketquickly.
Everythingyou would expectona world-class data science teamsolving world-class problems.Big data.Federated learning.Unstructured data challenges.Timeseries 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 thatdrives 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 preferPython 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 initiativeand 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 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 deepunderstanding of modernAIarchitectures (e.g., Transformers, Neural Networks, LLMs)andrelated 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.
Bonus Qualifications:
Fluency with actuarial methods and working with actuaries is a plus
Familiarity with healthcareand medical data
Familiarity with underwriting and claims, or predictinglong-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, 401k, paid paternal leave, and more.
Ample opportunities to learn and take on new responsibilities.
We are an equal opportunity employer.
Salary Range: $160,000-195,000 base salary annually.
This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package. In accordance with the Massachusetts Pay Transparency Law, we are providing a good-faith salary range for this position at the time of posting. The actual salary offered will depend on the level at which the candidate is hired, as well as their experience, skills, qualifications, and location.Compensation may grow over time through merit-based increases, promotions, and company-wide adjustments. If your salary expectations fall outside this range, we still encourage you to apply so we can have a conversation.
Apply for this job
*
indicates a required field
First Name *
Last Name *
Preferred First Name
Email *
Phone
Country
Phone
Resume/CV
Enter manually
Accepted file types: pdf, doc, docx, txt, rtf
Enter manually
Accepted file types: pdf, doc, docx, txt, rtf
Will you now or in the future require sponsorship to work within the US? * Select...
What city and state do you reside in the US? *
LinkedIn Profile *
Do you have experience building models that combine deep learning/LLMs with traditional data science techniques? * Select...
Have you had success productionalizing models? * Select...
Do you have DS experience in P&C or group health or similar industries? Select...
#J-18808-Ljbffr
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.