Top Senior Level Data Science Jobs

As a Senior Data Scientist, you will derive insights from large health datasets and develop AI tools for medication management. Your responsibilities include creating predictive models, assessing program impacts, and presenting findings to stakeholders.

The Senior Data Scientist will design, deploy, and manage predictive models using Machine Learning in the healthcare domain, working closely with Product and Data Engineering teams. This role involves mentoring junior scientists, improving strategies based on model outputs, and integrating automated MLOps processes while managing large projects with minimal oversight.

The Senior Staff Engineer - Data Scientist will support product development and perform data analysis on large-scale datasets. Responsibilities include developing optimization and statistical models, collaborating with stakeholders, and communicating insights to drive business improvements.

As a Staff Data Scientist, you will analyze data discrepancies, support investigation of data anomalies, size opportunities for metric improvements, implement data quality controls, and lead strategic initiatives to enhance data integrity. You will collaborate with engineers and communicate best practices to ensure data reliability across teams.

As a Senior Data Scientist - Technical Lead, you will develop and implement integrated AI models for IoT devices, collaborate with stakeholders to drive AI/ML projects, perform in-depth data analyses, and ensure models' performance while staying updated on AI/ML advancements.

The Associate Research Scientist is responsible for evaluating drug containers and medical device materials, conducting elemental analysis using ICP/MS, and developing analytical methods. They manage laboratory operations, provide technical support, and review documentation, ensuring compliance with FDA regulations in a laboratory setting.

The Senior Data Scientist will lead clinical data initiatives by utilizing clinical data sources, managing data for research publications, optimizing AI tools for data analysis, and supporting AI-driven solutions for efficient data processing and interpretation.