Top Senior Machine Learning Jobs in Dallas, TX

Provide data architecture leadership for Payments Operations: define metadata, systems of record, data quality, and domain models; design data delivery and analytics capabilities; profile and transform data using Python/PySpark/SQL; collaborate with product, analytics, and tech teams; research emerging technologies and implement data solutions.

Lead data ownership and governance for wholesale credit risk. Define data strategies, ensure data quality, metadata and lineage, enable data products, mitigate data risks, and coordinate cross-functional delivery for analytics and reporting.

Lead analytics-focused engagements from intake through delivery, partnering with senior leaders to translate business needs into scalable analytics, automation, and AI-enabled solutions, align stakeholders, drive measurable business value, and standardize enterprise solutions across large, matrixed organizations.

Lead and develop a team delivering data conversion for customer implementations. Drive adoption of AI and automation, manage complex/at-risk migrations, track KPIs, and improve processes through experimentation and transformation.

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

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.

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.

Implement, install and administer an advanced analytics platform and workspaces (SAS, Tableau, R, ML). Ensure IT policy compliance and service levels, support connectivity to data sources (Hadoop, Oracle, SQL Server), perform capacity planning, performance tuning, document procedures, troubleshoot issues, coordinate implementation with architects and service providers, and automate platform administration with scripting.