Top Data Science Jobs in Kansas City, MO

The Partner Marketing Manager will develop and execute marketing programs with strategic partners, enhance partner relationships, and drive pipeline growth in the data and AI sectors.

The Principal Product Manager will lead the Underwriting team to improve credit risk models, manage vendor relationships, and analyze portfolio performance.

The Senior Product Manager will build and manage the Incentives Engine to drive user engagement, retention, and overall growth at Coinbase, emphasizing strategic incentives and cross-functional collaboration.

As an Associate Product Manager, you will gain hands-on experience managing products, launching features, and collaborating across teams. You'll be trained in product management, focus on customer needs, and help deliver innovative solutions that drive business impact.

Lead the AI Evaluations product framework at Dropbox, focusing on metrics, model performance, and user satisfaction for AI features. Collaborate with AI, data, and research teams to define success metrics and operationalize evaluation tools.

Lead Value Consultant responsible for executing value management strategy, enhancing customer value initiatives, and driving cross-functional collaboration for impactful outcomes.

Lead and scale the global AI Center of Excellence, overseeing the development and execution of AI solutions for cybersecurity challenges.

Lead product strategy for Merchant Performance Growth, build intelligence capabilities, and drive attribution efforts while collaborating across teams to enhance merchant relationship and revenue.

The Staff Data Scientist will lead predictive solutions development, collaborating with multiple teams to drive business outcomes through AI/ML model implementations.

The Sales Engineer Intern will engage with the sales team, learn products, assist in technical demonstrations, and use analytical skills to present solutions to potential customers.

This role involves leading a technical support team, managing incident processes, collaborating cross-functionally, and driving operational improvements in healthcare tech.

The Sr. Data Scientist will analyze language-based clinical data to generate insights, support operations, and drive product innovations using AI technology in mental health care.

Lead AI initiatives at GM, developing comprehensive strategies aligned with business objectives and promoting best practices in a cross-functional environment.

Lead and grow a data science team to optimize customer service operations through advanced analytics, modeling, and real-time insights. Collaborate across departments to improve user experiences and drive measurable business impact.

Lead a team of data scientists at GoodRx, combining hands-on modeling and strategic leadership to deliver machine learning solutions for healthcare affordability.

Lead the data science team in developing and deploying advanced machine learning models to improve decision-making and efficiency. Collaborate cross-functionally while mentoring staff and managing the data science function.

As a Data Scientist at Deepgram, you'll tackle complex audio data challenges, develop scalable data pipelines, and collaborate with teams to advance voice AI technologies.

As a Technical Recruiter, you will source and recruit top technical talent for AI/ML and Data Science roles while managing candidate experience and the hiring process.

Lead product vision for ranking systems and Data API. Collaborate with teams to drive innovation, manage products, and identify investment opportunities.

The Principal Strategy and Operations Manager will drive strategic initiatives, optimize revenue streams, and lead cross-functional collaboration to enhance business performance at Zillow.

The VP of Engineering will lead an engineering organization, align technology strategy with business goals, drive operational excellence, and cultivate a high-performance culture, ensuring scalability, security, and reliability of systems.

Lead and mentor a data science team delivering AI-driven insights and predictive analytics for enterprise-level business applications, ensuring strategies align with operational excellence.

Lead the development of reporting and analytics capabilities, improve product features, and drive cross-functional collaboration to enhance customer satisfaction and revenue growth.

Seeking a leader for the MLIR team at Netflix to drive machine learning innovations, collaborate with various teams, and enhance organizational capabilities.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.