Note: The job is a remote job and is open to candidates in USA. Gradient AI is a decision-intelligence partner for the insurance industry, using extensive industry data and advanced analytics to reveal risk and improve business performance. The Staff Data Scientist will lead complex modeling and analytical projects, drive cross-product initiatives, develop and deploy hybrid machine learning models, and communicate insights to customers and stakeholders. The role also involves advancing team standards, mentoring junior data scientists, and operationalizing models in production.
Responsibilities
- 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
Skills
- 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
- 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.
- Medical, dental, vision, 401k, and paid paternal leave.
- Ample opportunities to learn and take on new responsibilities.
- Annual performance bonus.
- Equity grant.
Company Overview
Company H1B Sponsorship