Top Data Science Jobs in Tulsa, OK

The Senior Software Engineer role entails developing web applications and APIs within an Agile Scrum team. Responsibilities include collaborating on new features, solving technical problems, mentoring colleagues, and leading technical projects while adhering to coding standards and best practices.

The Revenue Operations Senior Analyst will manage pipeline reporting and forecasting, design compensation plans, conduct data analysis, and collaborate with sales teams to enhance operational efficiency. Responsibilities include maintaining reports, supporting sales enablement, and optimizing processes through automation.

As a Research Engineer at Chainlink Labs, you will define research agendas, drive projects that enhance decentralized oracle technologies, and maintain Chainlink's leadership in smart contract ecosystem solutions, while collaborating with a cross-disciplinary team to innovate in applied cryptography and security.

This role involves driving engagement data science work for Instacart by focusing on product strategy and intelligent systems. Responsibilities include utilizing data to identify opportunities, estimating impact of new features, conducting experiments for impact measurement, and improving features through advanced data science methods including statistical and machine learning techniques.

As a Data Scientist Lead Consultant at Arity, you will develop and optimize machine learning algorithms to enhance the marketing platform using large datasets. Responsibilities include making key technical decisions, collaborating with cross-functional teams, and influencing business optimization strategies that drive revenue growth.

The Director of Data Science will oversee AI Insights at Movable Ink, managing a data team and guiding product analytics. Responsibilities include maintaining the internal reporting stack, mentoring client-facing teams, and presenting insights to senior client executives. The role focuses on advancing the Analytics product and driving improvements in the model suite through collaboration.

Lead a team of data scientists to deliver analytics solutions that positively impact business outcomes. Manage data science projects, implement predictive models, and improve deployed solutions. Ensure effective communication regarding data science methodologies and support project management practices.