Top Data Science Jobs in Oklahoma City, OK

As a Staff Data Scientist, you will enhance Mozilla's operational efficiency by creating reporting systems, automating workflows, employing AI tools, and collaborating on metrics and performance analysis.

This role involves building credit risk models, bridging data science with MLOps, ensuring model reliability, and supporting compliance tasks.

The Staff Data Scientist supports marketing intelligence products by enhancing forecasting and experimentation models, translating customer needs into technical requirements, and troubleshooting measurement issues.

The Data Scientist will perform research on DeFi protocols, manage client engagements, and create dashboards while analyzing complex datasets.

Design and develop AI-driven tools for meta-analysis and RWE generation, collaborating with teams to ensure scientific rigor and compliance. Leverage LLMs and MLOps best practices while mentoring team members and driving innovation in healthcare analytics.

Collaborate with data scientists to build models for recommendations and user segmentation, design A/B tests, and deploy ML models while ensuring clean, maintainable code.

As a Data Scientist II, you will develop and deploy machine learning models, monitor performance, and communicate findings across teams. Collaboration and ownership of ML products are key.

Seeking a Senior Data Scientist to analyze user growth and improve acquisition strategies using data-driven insights and predictive modeling.

The Staff Data Scientist will design and optimize AI-driven machine learning models for healthcare applications, ensuring data privacy and collaboration with experts.

Lead cross-functional data science initiatives, prototype ML models, and enhance procurement optimization strategies while mentoring junior team members.

Lead development of machine learning models for real-time content ranking, translating business objectives into effective ML solutions while managing experiments and data pipelines.

Lead data science initiatives focusing on healthcare fraud, waste, and abuse. Perform detection analysis, assess trends, and present findings to support decision-making.

Lead the development of credit risk models, collaborating with consultants and technology teams, and implement LLM-based agents for dynamic decision-making.

As a Data Scientist at Mitratech, you'll develop AI products, analyze data, build models, and collaborate with teams to integrate these solutions into software products.

The Staff Data Scientist will lead the design and implementation of AI solutions for fraud detection, mentor team members, and collaborate with various stakeholders to deliver robust data products.

The Senior AI Data Scientist will develop AI solutions for marketing analytics in consumer lending, focusing on agentic AI and predictive modeling.

The Data Scientist II (RWD) will analyze real-world insurance claims and EHR data, conduct statistical analysis, and develop AI models while collaborating with experts to produce insights and communicate findings.

Seeking a skilled Data Scientist/Machine Learning Engineer to develop machine learning models, design AI systems, and collaborate in data analytics. Responsibilities include productionizing models, data engineering, and cross-functional collaboration.

As a Staff Data Scientist, you will develop and refine machine learning models, integrate them into products, mentor team members, and drive business impact.

Lead the design and deployment of advanced statistical and AI models for talent marketplace. Improve AI models and build experimentation frameworks. Collaborate with cross-functional teams and contribute to thought leadership.

The Health Outcomes Data Scientist will analyze real-world health datasets to improve patient outcomes, leveraging data science methods and cross-functional collaboration to support healthcare cost reduction.

The Data Scientist will design and optimize data architectures for AI initiatives, develop ETL/ELT pipelines, collaborate with cross-functional teams, ensure data quality, and create reports aligning with business objectives.

As a Senior Product Data Scientist, you'll analyze customer behavior, optimize user retention and marketplace efficiency, and drive product strategy through data insights and SQL querying.

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.

Build real-time pricing systems and models to ensure high-integrity reference prices in financial markets, analyzing risk and leading forensic data analysis during incidents.