Top Remote Data Science Jobs in Tulsa, OK

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

The Staff Data Scientist will drive strategic initiatives in Reddit's ad ecosystem, develop advanced models, and collaborate across teams to optimize advertising efforts.

As a Data Scientist, you will analyze blockchain data to derive insights, develop and deploy predictive models, and improve product offerings.

Lead the technical vision for pricing guidance algorithms at Airbnb, develop pricing strategies, and provide technical leadership to cross-functional teams.

Looking for a Data Scientist with experience in ML and AI alignment research to work on client projects and alignment research.

As a Senior Data Scientist at Phantom, you'll analyze product data to drive strategic decisions, develop metrics, and collaborate with cross-functional teams to enhance user experience in the crypto ecosystem.

As a Senior Data Scientist, you'll design forecasting models, build data pipelines, analyze user behavior, and guide decision-making with data-driven strategies.

The Geospatial Scientist leads data management initiatives, oversees data governance, and ensures quality and compliance of geospatial data for DHS.

The role involves developing predictive models for product assortment optimization in retail, driving revenue and customer satisfaction through analytics and collaboration with business teams.

As the Data Scientist for Marketing Analytics, you will analyze marketing performance, develop predictive models, and drive growth strategy through data-driven insights.

Lead the design and implementation of machine learning models for demand forecasting in hospitality, focusing on Bayesian modeling and model deployment.

Lead Data Scientist will design and implement AI solutions, managing a portfolio of AI projects with a focus on improving healthcare outcomes using analytics.

The Senior Data Scientist will analyze large-scale data, develop statistical analyses, build machine learning models, and optimize user engagement and product performance.

Analyze blockchain data, creating efficient query solutions and fraud detection methodologies while ensuring data integrity and transforming customer data needs into actionable insights.

As a Senior Data Scientist, you will develop statistical models and machine learning algorithms to improve patient enrollment and trial management while ensuring compliance in a healthcare data environment.

The Data Scientist II will develop statistical models and ML solutions to enhance workforce planning and optimize resource allocation. Responsibilities include analyzing data, deploying algorithms, and collaborating with cross-functional teams to meet business needs.

The role involves designing, implementing and improving machine learning models for semantic search and NLP, engaging with the community and cross-functional teams.

Lead the implementation and development of advanced analytics products utilizing blockchain data to detect and mitigate cryptocurrency fraud, overseeing the entire analytics product life cycle with a collaborative team.

As a Senior Data Scientist, you will develop and deploy advanced analytics solutions, generating insights to support decision-making and growth, while collaborating with cross-functional teams.

As a Senior Data Scientist, you will develop machine learning models, optimize deployment processes, and collaborate with cross-functional teams to enhance clinical AI workflows.

The Senior Data Scientist will build data infrastructure, implement BI tools, and provide data-driven insights to enhance Product, Sales, and Customer Success operations.

The Sr. Data Scientist analyzes complex datasets, builds predictive models, creates data pipelines, and collaborates across teams to support strategic decision-making.

The Senior Data Scientist will lead innovative data science efforts, leveraging advanced analytics, visualization, and insights from complex datasets to boost productivity.

The Lead Data Scientist drives analytics initiatives, develops statistical models, mentors junior team members, and communicates insights to stakeholders.

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.