Principal Data Scientist

MassMutual Ventures; United States; Remote; USD 190,000 - 235,000; Full time

Benefits offered by this job

Generous stock options

Flexible remote work

Job summary

Gradient AI is seeking a Principal Data Scientist to lead high-impact modelling and analytics across the organization. You will set modelling strategy, drive novel work, and raise the technical bar for how we build and ship models.

As a recognized technical authority, you will guide ML/AI initiatives, collaborate with stakeholders, and ensure scalable, high-quality solutions across remote and hybrid teams.

Qualifications

• Advanced knowledge of deep learning and ML algorithms with Python data science ecosystem.
• Excellent communication and collaboration with nontechnical stakeholders and leadership.
• Experience with ML model lifecycle, monitoring, drift detection, and KPI tracking.

Responsibilities

• Lead modelling strategy across the organization and set technical standards.
• Prototype, validate, deploy, and monitor models to deliver measurable business impact.
• Tackle complex data challenges including NLP, timeseries, and unstructured data.

Skills

Deep Learning

ML Algorithms

Python

NLP

MLOps

Team Leadership

Communication

Education

Bachelor's degree in CS/DS

Master’s or Ph.D in CS/DS

Tools

Jupyter

Git

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 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.

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 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 learningand ML algorithmsand the core Python data scienceecosystem.
• Strong communicationand collaboration skills, particularly communicating with nontechnical stakeholdersand leadership, and helping to pivot technical roadmaps to deliver their intended value rapidly
• Deep experience withnatural language, medical data, long-tail predictions, or similar related problem spaces
• Strong familiarity with all phases of theMLOpsmodel lifecycle, with experiencecreatingteamstandards and practicesto enforce quality and speed
• Deep experiencebeing 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.

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: $190,000-235,000k 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.