Remote Staff Data Scientist: Hybrid ML & Risk Modeling

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

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.