Top Hybrid Data Science Jobs

The Staff Data Scientist will develop and enhance marketing intelligence products, manage data science models, optimize algorithms, and collaborate across teams to translate technical methodologies into business solutions.

The Senior Bioinformatics Engineer will develop and maintain bioinformatics pipelines, architect AWS infrastructure, analyze data insights, and contribute to regulatory documentation.

The Data Scientist will analyze data to enhance business performance, engage customers, and optimize product strategies through experimentation and metrics establishment.

As a Data Scientist at GLS, you will design data science solutions, develop predictive models, gather and clean data, and present insights to stakeholders while collaborating with business partners and IT.

As a Staff Data Scientist for Forecasting, you will develop forecasting algorithms, create data pipelines, mentor team members, and operationalize models for business needs.

The Principal Data Scientist leads advanced machine learning initiatives, designs scalable AI solutions, and shapes Aera's data science strategy while collaborating with cross-functional teams.

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 Data Scientist, you will develop data-driven solutions, create visualizations, and support data integration for energy projects applying machine learning and AI techniques.

The Sr. Data Scientist will utilize predictive models and data science techniques to optimize business outcomes, manage client relationships, and provide insights based on large datasets. Responsibilities include leading data science projects, developing models, and creating data visualizations.

As a Data Scientist, you will own analytical projects that influence product decisions and marketing campaigns. You'll apply statistical methods and predictive modeling to enhance customer value and drive business outcomes, collaborating cross-functionally to integrate insights into strategies.