Top Hybrid Data Science Jobs

As a Staff Data Scientist, you'll build data assets and analytics solutions, create machine learning models, and collaborate with stakeholders to drive business value.

The role involves analyzing user behavior to prevent account sharing, developing predictive models, collaborating with teams, and ensuring data privacy compliance.

Lead Data Scientist partners with business leaders to identify opportunities, design, develop, and deploy advanced analytics and ML solutions. Responsibilities include data preparation, modeling, feature engineering, delivering insights and visualizations, establishing standards, and directing associate data scientists, contractors, and consultants to produce measurable business value.

The Senior Manager of Data Science & Analytics will develop a marketing analytics strategy, collaborate with teams, and deliver insights for client acquisition and campaign optimization.

The AI Data Scientist Sr designs and implements AI/ML solutions, collaborates with stakeholders, processes complex datasets, and optimizes business outcomes through data-driven analytics.

The Senior Data Scientist will apply machine learning to improve cancer detection, collaborating across teams to analyze genomic data and develop innovative solutions.

As a Data Scientist I, you will support ML development, conduct analyses, partner with teams, and contribute to MLOps workflows for ad performance.

The Senior Data Scientist will analyze healthcare data to identify care gaps and segment key healthcare professionals, guiding strategic medical activities and mentoring other data scientists.

The Data Science Intern will build predictive models, analyze customer data, and design AI-driven frameworks to improve customer health and retention. This role focuses on hands-on projects involving complex datasets and insights generation.

The Associate, Data Science will develop customer lifecycle models, design predictive models, analyze data for business solutions, and collaborate with various teams to implement models and optimize processes.