Top Data & Analytics Jobs

As a Senior Data Scientist, you will establish a data-driven culture, define metrics, and implement self-serve dashboards across product, growth, and research teams to enhance decision-making. You will design experiments and analyze their impact on users while communicating findings effectively across functions.

The Executive Director for the Predictive AI/Agentic AI Platform Suite will lead the strategic vision, innovation, and growth of the platform, ensuring alignment with organizational priorities and driving the adoption of AI tools. Responsibilities include overseeing resource allocation, defining strategic roadmaps, and ensuring compliance with ethical AI practices. The role requires collaboration with senior leaders and cross-functional teams.

The Global Head of Operations Performance Metrics will lead a global analytics team to standardize reporting practices, establish KPIs, ensure data governance, and drive data-driven decision making across the organization. This role requires strategic leadership to enhance efficiency, data integrity, and collaboration with various stakeholders.

The Senior Data Scientist will develop machine learning algorithms and model-based solutions to enhance patient care and optimize health outcomes. Key responsibilities include collaborating with stakeholders, developing intelligent features, mentoring junior team members, and documenting the model design and outcomes.

As a Data Scientist I on the Women’s Health team, you will develop machine learning algorithms using WHOOP data and integrate clinical research to improve health insights. Your responsibilities include creating statistical models, monitoring algorithms in production, and collaborating with engineers to build backend applications.

The Senior Director of Data Science will lead the data science organization at Blue Yonder, providing strategic input, thought leadership, and innovation in AI/ML solutions. The role involves collaborating with teams to deliver impactful insights, developing POCs for sales, and mentoring data scientists to enhance operational efficiency in supply chain management.

The Senior Associate Data Science will work with data scientists, engineers, and product managers to deliver valuable analytics solutions. The role involves leveraging technologies to extract insights from large datasets, building machine learning models, and translating complex data into business goals.

As a Senior Data Scientist at PNC, you will lead AML analytics projects using statistical techniques and machine learning to detect and prevent financial crimes. You will collaborate with stakeholders to analyze datasets, develop predictive models, and communicate findings to management. Your role will involve mentoring other data scientists and optimizing model performance across different banking functions.

The Associate Data Scientist will participate in the Data Science Leadership Development Program focusing on analytics and self-leadership. Responsibilities include supporting the development of analytical solutions, learning business knowledge, building statistical models, and communicating insights. The program includes hands-on experience and mentoring to prepare for a career in data science.

As a Data Scientist at Atticus, you will help build a data-driven culture, designing metrics, building data pipelines, conducting experiments, and launching models to improve client outcomes and support decision-making. Your role will involve collaborating with cross-functional teams and contributing to product insights that enhance user experiences.

The Senior Data Scientist will lead efforts in developing predictive analytics and data-driven strategies for Waystar's healthcare platform. Responsibilities include applying machine learning techniques to real-world healthcare challenges, mentoring junior data scientists, and collaborating across teams to enhance product offerings and drive valuable insights.

The Senior Manager, Data Science will lead a team using machine learning and statistical modeling to analyze transaction data and deliver products that enhance customer experiences. Responsibilities include building models, mentoring data scientists, and collaborating with cross-functional teams to identify insights and address challenges in the financial services industry.

As a Data Scientist, you will collaborate with business leaders to tackle product challenges using predictive analytics, improve data quality, and align analysis efforts with strategic goals. You will define and implement machine learning models, analyze data trends, and mentor the team in Austin.

As a Data Scientist, you will analyze data to develop insights for senior management, identify machine learning use cases, and collaborate with various teams to deploy solutions in a banking context. Responsibilities include transforming data into insights and training machine learning models.

The Manager in Marketing Analytics & Data Science will lead analytics projects, manage client relationships at an executive level, and guide a team of data scientists. Responsibilities include strategic consulting for clients, team development, and contributing to the company's growth initiatives through leadership and project management.

The Senior Lead Data Scientist will lead the development of AI solutions, mentor teams, and oversee projects from conception to deployment. Responsibilities include creating predictive models, defining enterprise AI capabilities, and collaborating with cross-functional teams to drive initiatives and standards for AI innovations.

The Enterprise Data Manager will lead data-driven initiatives within a local government, overseeing data analysts, implementing governance policies, fostering a data culture, managing data quality, and integrating new technologies. Responsibilities include developing data pipelines, conducting advanced analysis, and creating reports to inform decision-making for community improvement.