[Hiring] Staff Data Scientist @Gradient AI

Role Description

This is a fully remote opportunity with hybrid available to those local to Boston.

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 best of modern deep learning & large language models with traditional data science techniques to create powerful hybrid models with real uplift.
• Brainstorm, prototype, prove, deploy, and realize the value of your work in market quickly.
• Everything you would expect on a world-class data science team solving world-class problems:
  • Big data.
  • Federated learning.
  • Unstructured data challenges.
  • Timeseries and sequence modelling.
  • A self-serve buffet of techniques from GLMs to XGBoost to Transformers.
• Tell stories with your data. Inspire trust 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:

• You like getting things over the line. You have an insatiable desire to deliver value now and improve next.
• MVP perfection is achieved not when there is nothing more to add, but when there is nothing left to take away.
• You are not a software engineer, but you give them a run for their money. You prefer Python to R and don’t understand why there is still a debate.
• Jupyter is a necessary evil, and you’ve never met a command line that scared you away.
• You still do a better job than Claude, and you’re skeptical of your friends who say 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.

Qualifications

• 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.
• Advanced proficiency with deep learning frameworks and the core Python data science ecosystem, and a deep understanding of modern AI architectures (e.g., Transformers, Neural Networks, LLMs) and related 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.
• 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.
• Monitoring models in production – tracking data and concept drift and performance degradation, with alerting.
• Strong peer leadership and ability to mentor junior DS on 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 healthcare and medical data.
• Familiarity with underwriting and claims, or predicting long-tailed and/or rare events.

Benefits

• A fun, team-oriented startup culture.
• Generous stock options - we all get to own a piece of what we’re building.
• Unlimited vacation days.
• 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.