Top Machine Learning Jobs in Tulsa, OK

As a Machine Learning Engineer, you'll enhance ML productivity, improve model deployment, and implement algorithms for credit decisioning systems.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

The Senior Data Scientist will optimize product performance, drive product innovation through data-driven insights, and foster a culture of data-driven decision-making across teams.

Lead analytical projects to optimize loan portfolio and pricing strategies, develop machine learning models, and collaborate across teams to drive growth.

The Senior Manager, Product Analytics will lead a team to analyze product performance, drive data-driven strategies, and collaborate with cross-functional teams to enhance customer experience.

The Graduate Intern will analyze healthcare claims data to identify fraud, assist in developing analytical strategies, and present findings to stakeholders.

The P&C Actuary will assess financial risks in insurance, assist in regulatory consulting, and ensure compliance while enhancing client relationships and business development.

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

The Director of Data Science will build and manage machine learning models, collaborate cross-functionally, and lead the ML strategy at Hungryroot.

The Staff Analytics Engineer builds data workflows, ensures data integrity, resolves customer issues, and develops insights products, leveraging SQL and Python skills.

The Compliance Data Analyst will develop analytic solutions, collaborate with stakeholders, and perform advanced data analysis to enhance compliance initiatives.

As a P&C Actuary, you will assess risks for insurers, support audit teams, and maintain compliance with regulations, while growing client relationships and improving tools for efficiency.

Lead the Anaplan platform and data strategy, develop financial models, implement advanced analytics, and mentor team members for a FinTech team.

The Marketing Analyst develops data visualizations and executive dashboards, utilizes machine learning for customer insights, and collaborates with teams to drive strategic decisions.

The role involves developing AI/ML models to detect financial crime, analyzing transactional data, and enhancing monitoring systems. Strong analytical skills and compliance knowledge are essential.

Lead a data science and analytics team for Netflix's game product and platform. Responsible for measurement, experimentation strategies, and coaching the team to deliver insights vital for games strategy.

Lead data acquisition and management strategies for AI models, analyze data systems, oversee partnerships, and guide a team in optimized data usage.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

This role involves training AI models in Energy and Power by providing feedback on outputs, problem-solving, and identifying biases in the AI's knowledge base.

As an AI Tutor, you will teach, evaluate, and red-team AI models in data science principles, focusing on statistical modeling, machine learning, and data ethics.

The Data Engineer will design and maintain ETL pipelines and data storage solutions, collaborating with cross-functional teams to ensure efficient data processing and delivery.

The Director of Data & Analytics will define and execute the data strategy, lead a team, and collaborate across departments to ensure data is a strategic advantage for the company.

Lead data partnerships by executing data acquisition strategies, negotiating agreements, and evaluating data quality in clinical and observational studies.

The role involves leading data analytics and AI solutions for underwriting, translating data into insights, and managing analytics projects.

Analyze content performance, influence product roadmap, manage content strategies, classify data, and collaborate with engineering on AI and ML initiatives.