Top Machine Learning Jobs in Dallas, TX

As a Senior Associate in the Financial Crime Unit at PwC, you'll analyze complex datasets using SQL and Python, apply machine learning techniques, mentor junior team members, and build client relationships while enhancing your technical skills.

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.

Design, build, and deploy data and AI solutions for the Enterprise Data Warehouse: develop and fine-tune ML and generative AI models, create AI applications (recommendation systems, automation), integrate models into business workflows, monitor production models, and collaborate across technical and non-technical teams.

The Chief Data Officer will lead the enterprise-wide data strategy, ensuring data quality and governance while driving AI initiatives and business value.

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.

Design, build, and maintain large-scale data structures, ETL pipelines, and data marts. Integrate and operationalize ML models, optimize Hadoop/HDFS workflows, ensure data quality, and collaborate with data science to support analytics and reporting needs.

The role involves designing and implementing advanced analytics solutions for healthcare payers, analyzing complex problems, mentoring juniors, and building client relationships.

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.

Build data foundations and end-to-end pipelines, research and implement quantitative pricing, market-making, and risk models for prediction markets, model cross-market dependencies and parlays, develop backtesting/simulation frameworks, monitor model performance and collaborate closely with traders to improve pricing and trading outcomes.

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