Top Data Science Jobs in Kansas City, MO

As VP of Engineering, you will lead the engineering function, focusing on scalable product development, team growth, and technical strategy to enhance customer experience.

Lead a team optimizing recommendation algorithms, educating on best practices, managing product lifecycle, and driving business impact through enhanced user engagement.

Cedar seeks a Software Engineer to enhance patient financial experiences by developing full stack features, collaborating across teams, and improving application reliability.

Lead a team of data scientists to develop and deploy machine learning models, collaborating across teams to drive impactful data products.

The Data Science Senior Manager will manage the functional data science capability, create a data science roadmap, analyze data for insights, and build teams with the right skills. Responsibilities include applying analytics to solve business problems and interfacing with high-level stakeholders.

Develop predictive models and analytics to inform marketing strategies while collaborating with various teams to enhance data processes.

The Group Data Science Strategist will lead product vision and execution related to cybersecurity threats and generative AI, managing assessment requirements and roadmaps while prioritizing strategic outcomes.

As a Software Engineer III, you will lead projects enhancing patient communication, collaborate with cross-functional teams, and maintain code quality.

The Engineering Director will lead the Data Integration and Platforms team, align engineering teams, establish a data platform vision, and oversee engineering projects to improve data integration quality and scalability.

Lead and develop impactful projects, collaborate with cross-functional teams, mentor engineers, and advocate for system improvements in a healthcare tech environment.

The Sr. Data Science Strategist will lead product vision in cybersecurity, drive assessment strategies, and prioritize threat research models, focusing on delivering customer value through effective metrics.

The Sr. Product Manager will oversee the product lifecycle for rate recommendation services, collaborating with teams to optimize pricing strategies using AI/ML.

The Lead, Advanced Analytics is responsible for conducting in-depth data analysis to inform strategic decisions, analyze key metrics, and collaborate on projects driving business performance.

Lead AI and data strategy at 1848 Ventures, overseeing development and deployment of AI solutions, team building, and ensuring compliance.

The Client Partner is responsible for driving business growth by managing client relationships, identifying new business opportunities, and ensuring customer satisfaction in technology services.

Lead a team to drive data science initiatives for monetization, focusing on analytics, machine learning, and cross-functional collaboration. Manage and develop talent while aligning strategies with business goals.

Lead the engineering team, formulate technology strategies, manage product development, drive business goals, and enhance team performance while building quality assurance processes.