# Principal Data Scientist

**Company:** [Gradient AI](https://hotfix.jobs/companies/gradient-ai)
**Location:** Remote
**Role:** Data Science
**Experience:** 8+ years
**Skills:** Python, Deep Learning, Machine Learning, LLMs, MLOps, xgboost, Transformers, glms, federated learning, natural language processing, time-series modeling, jupyter
**Posted:** 2026-08-04

> Leads high-impact predictive modeling initiatives using deep learning, large language models, and traditional data science methods. The role requires principal-level experience, strong Python and MLOps expertise, and the ability to translate complex modeling work into measurable business value.

## Job Description

## Responsibilities
- Lead the organization’s most complex and high-impact modeling and analytical initiatives.
- Set modeling strategy across the organization and drive novel work as a recognized technical authority.
- Combine deep learning, large language models, and traditional data science techniques to create hybrid models.
- Brainstorm, prototype, validate, deploy, and commercialize models quickly.
- Work across big data, federated learning, unstructured data, time-series and sequence modeling, GLMs, XGBoost, and Transformers.
- Communicate data-driven insights to customers, stakeholders, and prospects, translating complex analysis into business impact.
- Take initiative and spearhead ambiguous projects.
- Build reusable systems, packages, and frameworks that elevate the team.
- Establish team standards and practices for model quality and delivery speed.
- Own long-term model impact, including MLOps pipelines, drift monitoring, KPI and impact monitoring, issue triage, incremental improvements, and technical debt management.

## Requirements
- Bachelor’s degree in Computer Science, Data Science, Biostatistics, Mathematics, or a related field and **8+ years of professional data science experience** building predictive models; or a master’s or Ph.D. in one of these fields and **5+ years of professional data science experience** building predictive models.
- Expert-level knowledge of deep learning, machine learning algorithms, and the core Python data science ecosystem.
- Strong communication and collaboration skills, especially with nontechnical stakeholders and leadership.
- Deep experience with natural language, medical data, long-tail predictions, or similar problem spaces.
- Strong familiarity with all phases of the MLOps model lifecycle.
- Ability to work effectively with Python, Jupyter, and command-line tools.

## Nice-to-Haves
- Fluency with actuarial methods and experience working with actuaries.
- Familiarity with healthcare and medical data.
- Familiarity with underwriting and claims, or predicting long-tailed and/or rare events.

## Compensation and Benefits
- Generous stock options.
- Unlimited vacation days.
- Flexible schedule supporting work from home.
- Medical, dental, vision, 401(k), paid parental leave, and other benefits.
- Opportunities to learn and take on new responsibilities.

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**Apply:** https://hotfix.jobs/jobs/98de8e86-22a7-45fe-a1ce-b1ac42139eac
**Canonical:** https://hotfix.jobs/jobs/98de8e86-22a7-45fe-a1ce-b1ac42139eac