Top Software Data Science Jobs

As a Senior Data Scientist, you will develop technologies for signals exploitation, perform data analysis, and implement algorithms while collaborating with project teams.

Design and implement geospatial analytic methods and predictive models for GEOINT; develop automated workflows, visualizations, and dashboards; lead cross-functional teams; brief stakeholders; and support program execution for mission-critical, real-time intelligence solutions.

The Senior Data Scientist will design and implement AI-enabled products using clinical trial data, mentor team members, and collaborate with stakeholders.

As a Senior Applied AI Data Scientist, you will leverage machine learning to transform clinical data into high-quality research datasets and collaborate with stakeholders on model validation and insights generation.

Lead the Cash Flow Underwriting Team as a Data Scientist, leveraging advanced machine learning techniques for predictive modeling in creditworthiness and customer behavior.

The Principal Data Scientist will partner with a cross-functional team to build machine learning models, leveraging various technologies and translating complex data insights into business goals.

As a Senior Associate Data Scientist, you'll partner with teams to analyze model risks, develop machine learning models, and enhance loss forecasting processes at Capital One.

As an Associate Data Scientist, you will analyze data, train models, and enhance algorithmic product features while collaborating with engineering and product teams.

The Associate Data Scientist will develop machine learning models, automate decision-making, and support AI solutions across various operations at UL Solutions, collaborating with multiple teams throughout the project lifecycle.

As a Data Scientist Lead at PNC, you will oversee analytical projects involving structured and unstructured data, manage data processing, and supervise advanced analytics initiatives, providing leadership for data science activities.

Lead end-to-end data architecture and analytics for Parts Sales to End Users (STU): design Snowflake data models, build scalable data pipelines, develop Power BI dashboards, support forecasting and ML models, validate data quality, drive automation and system modernization, and communicate insights to senior stakeholders to improve reporting, forecasting, and business decisions.

Lead end-to-end data science projects, develop machine learning models, collaborate with stakeholders, mentor team members, and communicate insights effectively.