Senior Data Scientist refactoring Python optimization algorithms and developing pricing models. Solving supply - chain challenges for Tiger Analytics’ retail and CPG analytics clients.
About the role
- AI and Data Scientist at Verily enhancing healthcare solutions with AI and data-driven insights. Collaborating with experts to build scalable tools from complex clinical datasets.
Responsibilities
- Dive into complex data science projects, identifying opportunities to leverage data for groundbreaking healthcare solutions.
- Collaborate with a diverse team of experts to conceptualize, develop, and implement AI solutions tailored to a variety of healthcare applications.
- Apply cutting-edge machine learning algorithms, including Large Language Models (LLMs) and Natural Language Processing (NLP), to unlock insights from large, unstructured medical datasets and inform strategic decisions.
- Build robust, data-driven solutions that translate complex analysis into practical applications, tackling significant healthcare challenges head-on.
- Design and build scalable data pipelines that ensure data quality and accessibility, contributing to Verily's core data infrastructure.
Requirements
- Advanced degree in a quantitative discipline (e.g., computer science, statistics, applied mathematics, biomedical informatics, biomedical engineering) or equivalent practical experience.
- 2+ years of experience applying advanced machine learning and AI techniques (e.g., supervised and unsupervised methods, LLMs, NLP) to clinical data.
- Direct experience working with Large Language Models (LLMs) and familiarity with prompt optimization technologies.
- Strong proficiency in Python.
Benefits
- flexibility
- resources
- competitive benefits to support you in your whole-person well being
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