Top Hybrid Data Science Jobs

As a Senior Developer Advocate, you will lead community engagement in Data Observability, create content, mentor teams, and enhance product feedback from engineers.

The Senior EO Imagery Analyst will provide geospatial expertise, assess sensor capabilities, and improve data quality for Machine Learning applications.

The Data Scientist will analyze complex datasets, build predictive models, collaborate with stakeholders, and present insights for business decisions.

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.

This role involves onboarding clients, solving scientific problems, guiding data analysis on the Tempus platform, and creating documentation. Requires expertise in biomedical datasets and programming.

The Senior Manager, Data Science & Analytics will lead the analytics strategy for client engagement, focusing on data-driven insights and marketing performance to assist in customer acquisition efforts.

As a Lead Data Science Analyst, you will develop predictive models, perform statistical analyses, and implement AI-driven solutions to enhance the sales customer lifecycle and drive business insights.

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.

Design, build, validate, deploy, and monitor ML models (credit risk, fraud, transaction timing). Create training datasets, run A/B tests, analyze customer behavior, and collaborate with Engineering, Product, and Analytics to deliver end-to-end data science solutions.