Top 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.

The Marketing Data Scientist will apply advanced analytics and machine learning to drive marketing strategies, focusing on connecting digital engagement to physical outcomes. Responsibilities include experimentation, reporting, predictive modeling, and collaboration with stakeholders for business insights.

The Business Operations Associate will support data-driven decisions, analyze user acquisition strategies, conduct A/B testing, and optimize operations for growth.

The AI Data Specialist builds and maintains data pipelines, models, and integrations for AI systems, working closely with clients to ensure data quality and effective communication. They manage end-to-end data delivery for multiple projects in a fast-paced environment, translating complex problems into clear solutions.

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.

The role involves managing client relationships, delivering healthcare data analytics solutions, and translating complex insights into clear strategies for stakeholders. Responsibilities include coordinating teams, troubleshooting issues, and developing actionable recommendations based on data analysis.

Lead the development of a comprehensive CRE forecasting infrastructure, integrating traditional econometric methods with AI, managing a team, and driving analytical product innovation.

The intern will assist with AI and data analytics projects including building machine learning models, conducting exploratory data analysis, and supporting technical documentation.