Senior Data Scientist

MassMutual Ventures; United States; Remote; USD 135,000 - 165,000; Full time

Benefits offered by this job

Stock options

Flexible schedule

Full benefits package

Job summary

Gradient AI is seeking a Senior Data Scientist to advance AI models and bring them to market in collaboration with data science, product, and engineering partners. You will own well-scoped models end-to-end, shipping measurable uplift on AI capabilities at the heart of our products.

You will prototype, deploy, and realize value quickly, using modern deep learning and large language models, while communicating results clearly to stakeholders and driving the business impact.

Qualifications

• Bachelor's degree in CS/DS/Math or related field and 3–5 years of professional data science experience building predictive models.
• OR Master’s/Ph.D in related field and 1–2 years of professional data science experience building predictive models.
• Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow and understanding of modern AI architectures (Transformers, Neural Networks, LLMs).
• Advanced proficiency in Python and its data science ecosystem (Pandas, NumPy, Scikit-learn, LightGBM, etc.).
• Strong technical communication and collaboration skills within agile squads and DS leadership.
• Familiarity with SQL, relational databases, and cloud environments like AWS/Azure/Google/Databricks.
• MLOps and hands-on experience taking models from notebook to production—experiment tracking, packaging, containerization (Docker), model serving and APIs, CI/CD, and pipeline orchestration.

Responsibilities

• Own end-to-end model development, from scoping to production deployment.
• Collaborate with data science, product, and engineering to ship measurable uplift.
• Prototype, validate, deploy, and realize value quickly.
• Explain complex results to stakeholders with clear storytelling.

Skills

Python

Deep Learning

LLMs

SQL & Cloud

MLOps

Agile working

Communication

Education

Bachelor's degree in CS/DS/Math or related, 3-5 years exp

Master's/PhD in related field, 1-2 years exp

Tools

PyTorch

TensorFlow

Jupyter

Docker

Git

Airflow

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 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 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 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 TensorFlow, and an understanding of modernAIarchitectures (e.g., Transformers, Neural Networks, LLMs).
• Advancedproficiencyin Python and its core data science ecosystem (e.g., Pandas, NumPy, 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 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: $135,000-165,000k 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.