Top Hybrid Data Science Jobs

Seeking a Senior Data Scientist to leverage AI and machine learning in healthcare datasets. Responsibilities include developing algorithms, leading projects, and mentoring juniors while collaborating with technical and business teams.

Lead AI-driven insights and predictive analytics for enterprise business applications, focusing on optimizing processes like Quote-to-Cash and customer retention through data analysis and machine learning.

The Senior Data Scientist will provide data-driven insights, build analytical models, and collaborate with stakeholders to enhance decision-making and operational efficiency.

Principal Data Scientist role focuses on developing predictive models for underwriting in healthcare using advanced machine learning techniques and large datasets. Collaborate across teams to drive data-driven solutions and stay updated on industry trends.

The Research & Analytics Manager will analyze data to support decision-making, conduct R&D, improve alert systems, and collaborate with teams to drive strategic insights.

The Data Science Actuary role involves building and maintaining rating systems and risk models, conducting analysis for underwriting and operations, and integrating new data sources while collaborating with multiple teams.

As a Senior Data Scientist, you will develop insights to guide product strategy, enhance experimentation practices, and mentor junior data scientists.

As a Data Scientist, you will develop machine learning models for soil carbon measurement, conduct research, and collaborate with scientists and engineers to ensure project methodology compliance.

Lead the data science team in developing analytical frameworks, mentoring members, and collaborating with engineering and research to deliver insights for investment management.

The Senior Manager will analyze metrics to optimize sales and marketing initiatives, implement KPIs, lead cross-functional projects, and influence executive decisions through data-driven insights.