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, helping customers reveal overlooked risks and improve performance through data-driven solutions. The Principal Data Scientist will lead complex, high-impact modeling and analytical initiatives, set modeling strategy, develop and deploy novel hybrid models, and elevate technical standards across the organization.
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 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 of deep learning and ML algorithms and the core Python data science ecosystem
- Strong communication and collaboration skills, particularly communicating with nontechnical stakeholders and leadership, and helping to pivot technical roadmaps to deliver their intended value rapidly
- Deep experience with natural language, medical data, long-tail predictions, or similar related problem spaces
- Strong familiarity with all phases of the MLOps model lifecycle, with experience creating team standards and practices to enforce quality and speed
- Deep experience being accountable for model impact long term – from MLOps pipelines to monitor for drift, to KPI and impact monitoring, driving incremental and long-term improvements, triaging issues, addressing tech debt responsibly, etc
- 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, paid paternal leave, and more.
- Ample opportunities to learn and take on new responsibilities.
- Annual performance bonus.
- Equity grant.
Company Overview
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