Top Senior Data Science Jobs in Oklahoma City, OK

The HR Data Scientist will apply machine learning and analytics to optimize workforce strategies, develop predictive models, and extract insights from HR data.

As a Senior Data Scientist at Gradient AI, you'll design predictive models for insurance underwriting, analyze large datasets, and collaborate with cross-functional teams.

The Staff Data Scientist will analyze user behavior, lead experiments, create dashboards, and collaborate with cross-functional teams to drive product improvements and business growth.

This role involves analyzing blockchain data, mentoring a team, building models, and collaborating with blockchain researchers to enhance product development and security.

Lead the development and deployment of Generative AI applications, collaborate with teams to deliver business use cases, and enhance data science skills.

The Assistant VP, Data Scientist will develop and deploy AI applications, collaborate with stakeholders, and lead AI initiatives within the bank.

The Senior Data Scientist will provide data-driven insights, build analytical models, and collaborate with stakeholders to enhance decision-making and operational efficiency.

Design and implement predictive models using machine learning for underwriting and patient care. Analyze healthcare data to inform strategies and collaborate with cross-functional teams.

The Senior Data Scientist will influence product roadmaps, drive AI/ML capabilities, and perform deep-dive analysis to shape data-informed strategies.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

The Business Intelligence Engineering Manager will lead an analytics team, drive insights, manage operations, and optimize data models while collaborating across departments and ensuring data quality and governance.

Lead the development and validation of analytical pipelines and statistical models, automate processes, mentor peers, and ensure compliance for clinical reporting.

The Data Scientist will analyze raw data, build models, visualize information, and provide solutions to enhance business performance.

The Senior AI Data Scientist will design and develop AI agents for marketing analytics in consumer lending, leveraging advanced Python and big data platforms.

The Senior Data Analyst will analyze data in Supply Chain and Manufacturing to drive recommendations, develop production management systems, and mentor junior analysts.

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

The Staff Data Scientist will develop machine learning models, collaborate with cross-functional teams, and use analytics to drive business growth and improve credit risk assessment.

Develop and tune ML models, productionize and deploy strategies for ML systems, and align cross-functionally to communicate performance metrics.

Lead and mentor data science teams to develop experimentation techniques for the ads business and drive data-driven decision making at Netflix.

As an AI-First Data Scientist, you will design and deploy ML solutions, conduct causal analysis, and automate intelligence in decision-making processes. You will work closely with senior operators and business leaders, translating complex problems into data-driven solutions while ensuring model performance and scalability.

As a Staff Data Scientist in Performance Marketing, you will optimize marketing decisions using predictive modeling, budget allocation, and audience targeting strategies, contributing to growth and retention for Quince.

The Data Scientist III will develop AI models for digital pathology, analyze data, collaborate with teams, and communicate findings. Requires a PhD and 5+ years experience.

The Senior Staff Data Scientist will lead the company's measurement frameworks and causal reasoning models, shaping executive decisions across various departments. Responsibilities include owning strategic models, establishing a scientific governance framework, and enhancing the scientific maturity of the organization, particularly in data science and analytics.

Lead multi-omics analyses in therapeutic discovery, focusing on structural biology and proteomics; develop Python solutions and communicate findings.

Lead data science initiatives, build and improve machine learning models, communicate insights to influence decisions, and foster analytical rigor in a collaborative environment.