Top Remote Data Science Jobs in Raleigh, NC

Drive the development and deployment of data science products focused on causal inference from observational data, collaborating with teams and maintaining data science solutions.

As a Senior Data Scientist, you'll develop fraud detection models, perform detailed analyses, and work closely with teams to drive product innovation and business outcomes.

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.

As a Senior Data Scientist, you will develop predictive models and algorithms to optimize marketing bidding strategies, enhancing growth and profit at Root.

The role involves building machine learning algorithms, implementing data cleaning processes, and developing predictive models in the energy sector.

Lead marketing measurement models, analyze user acquisition performance, design experiments, and automate reporting. Collaborate across teams to align models with business goals.

Lead the data discipline for Wolf Games by designing a scalable data ecosystem that drives AI systems and enhances player experiences.

Lead research initiatives using real-world data to revolutionize drug discovery. Mentor team members, manage complex projects and collaborate on observational study designs.

As a Senior Data Scientist, you'll drive product strategy, analyze data for insights, collaborate across teams, and mentor junior staff.

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

As a Senior Data Scientist, you will analyze blockchain data, uncover insights, mentor peers, and collaborate to improve attribution models while addressing global security threats.

As a Senior Data Scientist at Pinterest, you will apply quantitative modeling, experimentation, and collaboration skills to enhance products and provide insights for business challenges.

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

The Senior Data Scientist will lead marketing efficiency efforts using data science techniques, enhance internal tools for experimentation, and collaborate with product and engineering teams.

Lead Data Scientist responsible for driving measurable outcomes through experiments, data analysis, and creating metrics to track performance. Collaborate with engineering for productionizing models and enhancing recommendation systems using AI technologies.

Lead Product Analytics to drive data-informed decisions, design experiments, generate insights, define metrics, and ensure data quality at TRM Labs.

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.

As a Senior Data Scientist, you'll collaborate with teams, design analyses, develop algorithms, and influence product strategy using data insights.

The Senior Data Scientist will design and deploy predictive models, lead experimentation, collaborate across teams, and communicate findings to drive product strategy and business outcomes.

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.

Lead a team of data scientists to drive user growth through insights and strategic initiatives, collaborating with cross-functional partners.

Design and deploy data processing pipelines, analyze data to extract insights, and develop software systems for data management and privacy.