Top Senior Machine Learning Jobs in Dallas, TX

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

Lead strategy, architecture, and delivery of enterprise data platforms and analytics. Oversee data integration, pipelines, data governance, quality, and platform operations. Partner with business and IT leaders to define KPIs, enable self-service analytics, support AI initiatives, and manage vendor relationships while leading a cross-functional data engineering and analytics team.

Lead data strategy and delivery for large-scale client transformations. Design modern data architectures, oversee analytics and ML initiatives, support sales as SME, grow client relationships, manage teams and resource strategies, and foster a collaborative culture focused on quality and business outcomes.

Lead complex analytics projects supporting client experience transformation: gather and validate structured and unstructured data, apply advanced analytics and machine learning, produce executive visualizations and recommendations, manage recurring reporting, enforce data quality standards, and mentor other analysts to drive business decisions and improve client outcomes.

Lead end-to-end analytics for Flagship Client and Distribution: partner with stakeholders to frame problems, perform advanced analyses and machine learning, ensure data quality, develop recurring analytics products and executive visualizations, and mentor analysts to drive data-driven decisions.

The Senior Actuarial Predictive Modeler develops predictive models for pricing and lifetime value, collaborates with teams, ensures compliance, and leads projects.

Lead and build an end-to-end data testing and quality assurance function, driving data governance adoption, automation and AI-enabled testing, stakeholder alignment, metrics reporting, and remediation across divisions while managing a team in Dallas.

Lead design, implementation, and scaling of enterprise Palantir data solutions. Oversee cross-functional teams to build data pipelines, integrations, governance, and advanced analytics (ML/AI). Manage project delivery, stakeholder engagement, performance optimization, and mentor senior engineers and analysts while ensuring security and regulatory compliance.

Designs, builds, and maintains scalable ETL pipelines and databases; integrates large-scale data for analytics; develops and tests code, queries, and reports; ensures data quality and governance; leads solution development, trains users, and supports ML and BI initiatives.