Top Machine Learning Jobs in Kansas City, MO

Lead a cross-functional team in AI/ML exploration, define strategic direction, and manage projects from research to production to advance Dscout's AI capabilities.

Lead and mentor a team of data scientists and ML engineers, driving product analytics and experimentation strategies to impact business growth.

The QA Data Engineer ensures data integrity and quality through automated testing frameworks and data validation tools, collaborating with teams to resolve anomalies and optimize data flows.

The Senior Data Scientist conducts analyses and experiments to optimize loan terms and improve the marketing model, collaborating closely with product managers and stakeholders.

The GRC Operations Intern will support the Information Security team by analyzing third-party records, assisting with vendor documentation, and helping with compliance functions.

As a Senior Gen AI Software Engineer, you'll develop AI-driven solutions, architect intelligent agents, and improve workflows in collaboration with stakeholders across Liftoff.

As a Senior Data Scientist, you will optimize auction-based models, collaborate with teams, drive client ROI, and enhance modeling infrastructure.

As a Machine Learning Engineer, you will enhance ML productivity, design algorithms, and collaborate cross-functionally to improve credit underwriting models.

Develop advanced machine learning models for credit risk, mentor junior data scientists, and support data-driven decision-making to enhance business profitability.

The Applied Scientist will leverage machine learning and statistics to enhance trust and safety on the Thumbtack platform, focusing on fraud detection, marketplace dynamics, and customer matching. Responsibilities include deploying ML models, conducting experiments, and collaborating with cross-functional teams.

Seeking a Senior Product & Regulatory Counsel to provide legal guidance on healthcare regulations, data privacy, and product development while collaborating with teams to manage legal risks and improve processes.

Lead CNA's enterprise-wide AI security strategy, ensuring secure AI/ML development and deployment. Guide governance efforts and assess AI-related risks.

Lead Data Analyst will create high-value analytics for customers, establish expertise in analytics platforms, and identify improvement opportunities.

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.

Lead a team to assess threat coverage, provide strategic recommendations, and improve cybersecurity defenses against adversaries. Collaborate cross-functionally to enhance protection strategies.

The Sr. Taxonomy Specialist will lead and coordinate taxonomy projects, aligning stakeholders, establishing best practices, and advocating for shared taxonomies across the organization.

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.