Top Data & Analytics Jobs

As a Data Scientist II, you will use AI and ML to enhance member engagement, develop analytics for communication channels, and collaborate with team members while potentially mentoring junior staff. You will also manage data pipelines, statistical models, and deliver analytical solutions with a focus on minimal oversight.

As a Senior Manager of Fraud Risk Data Science, you will lead a team focused on developing and implementing machine learning models for fraud detection and risk analysis. You will manage projects, collaborate with cross-functional teams, and communicate complex results effectively, all while driving business goals in a fast-paced environment.

The Senior Data Science Consultant will lead client engagements in various industries, focusing on building machine learning algorithms, mentoring team members, and collaborating with stakeholders. Responsibilities include data modeling, conducting ad-hoc analyses, and presenting results to both internal and external parties.

The Sr. Data Scientist will provide insights for the Wealth Management channel, collaborate with decision-makers, build statistical models, analyze data, and offer actionable insights while coaching junior team members.

As a Senior Data Scientist at Airspace, you will design and implement optimization models for logistics, build automated data pipelines, and conduct advanced statistical analyses to inform strategic decisions. You'll collaborate with cross-functional teams to streamline operations and drive data-informed insights and efficiencies.

The Sr. Postmarket Surveillance Data Scientist will analyze complaint, sales, and manufacturing data to track and trend investigations, create automated reports for regulatory inquiries, and develop Power BI dashboards for product performance oversight. They will also coach junior data scientists and contribute to process improvements in data analytics.

The Data Scientist will support data acquisition and investigation, develop custom data models, and correlate data for actionable insights. Responsibilities include assessing new data sources, implementing predictive modeling, coordinating with teams, and translating complex findings for stakeholders. The role involves analyzing large data sets, developing tools to monitor model performance, and utilizing analytical methods to answer business questions.

The Data Scientist will leverage data science techniques to extract insights from customer data, develop predictive models, and implement machine learning algorithms to enhance customer segmentation and personalization. The role involves collaboration with cross-functional teams, the creation of visualizations, and continuous monitoring of model performance.