Staff Data Scientist

MassMutual Ventures; United States; Remote; USD 160,000 - 194,000; Full time

Benefits offered by this job

Stock options

Flexible schedule

Full benefits package

Learning opportunities

Job summary

Gradient AI is seeking 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 data science team.

You will collaborate with engineers, product, and stakeholders to translate murky math into actionable insights, deliver measurable uplift, and communicate results effectively to nontechnical audiences.

Qualifications

• Bachelor's or higher in CS/DS/Math with 5+ years of predictive modeling experience.
• Advanced proficiency with deep learning frameworks and Python data science stack.
• Hands-on MLOps: experiment tracking, packaging, containerization, model serving, CI/CD.
• Strong communication with nontechnical stakeholders and cross-functional teams.
• Experience monitoring models in production and handling drift.

Responsibilities

• Lead complex modelling and analytical projects of broad scope.
• Drive cross-product initiatives and set the technical approach.
• Prototype, deploy, and realize value quickly.
• Tell stories with data to inspire trust with stakeholders.

Skills

Deep learning frameworks

Python data science ecosystem

AI architectures (Transformers, LLMs)

Technical communication

MLOps & CI/CD

Mentoring junior DS

Education

Bachelor's + 5+ years data science experience

Master’s/PhD + 3-5 years data science experience

Tools

Docker

Jupyter

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: $160,000-193,750k 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.