Top Remote Data Science Jobs in Charleston, SC

As a Lead Data Scientist, you'll extract insights from large datasets, develop predictive models, and optimize processes while collaborating with teams.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

The role involves managing data to uncover insights, developing predictive models, and bridging clients with data intelligence within the context of evolving market research methodologies.

The Data Scientist II will enhance marketing strategies through advanced measurement frameworks, statistical models, and cross-functional collaborations to drive revenue growth for Pinterest.

The Data Scientist will build fraud detection models using machine learning, analyze datasets for insights, and collaborate across teams to advance identity verification solutions.

As a Data Scientist at Experian, you'll develop advanced analytics solutions, build machine learning models, automate workflows, and translate insights for various teams, enhancing decision-making across the organization.

As a Junior Data Analyst, you will analyze AI model performance and communicate insights, support project teams, and create presentations for impact assessment.

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.

As a Data Scientist at Super.com, you'll apply machine learning, conduct data analyses, collaborate with teams, and develop predictive models.

The Staff Data Scientist will advance claim audit models, enhance data pipelines, measure impact, and collaborate to ensure healthcare data aligns with business needs.

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

As a Data Scientist, you'll develop machine learning models focused on computer vision, optimize pipelines, and analyze complex datasets.

The Senior Data Scientist will develop machine learning models, collaborate with cross-functional teams, and help improve credit risk assessments to drive business growth.

Lead Data Scientist responsible for enhancing user experience and product efficiency through data analysis, ML modeling, and collaboration across teams. Mentors others and drives innovation in real-world applications.

The Senior Data Scientist will lead data science projects, mentor junior staff, and translate business challenges into machine learning solutions, influencing business strategy through data insights.

Develop electrical system ontology for data centers, utilize monitoring tools, create anomaly detection models, and collaborate with teams on insights and strategies for optimization.

The Senior Data Scientist will enhance the Marketing Mix Modeling platform, develop AI tools, automate modeling processes, and provide actionable insights from complex data.

As a Senior Data Scientist at TRM Labs, you will lead the development of machine learning models for detecting cryptocurrency fraud, collaborating with cross-functional teams to analyze blockchain data and communicate insights effectively.

The Data Scientist will work with stakeholders to leverage data, develop custom models, analyze data performance, and guide architectural improvements.

The Principal Data Scientist leads the Price and Promotions Data Science team, designing analytics products to optimize pricing and drive customer satisfaction. Responsibilities include solving complex problems, managing large datasets, mentoring team members, and collaborating with the Data Engineering team.

As Lead Data Scientist, you'll advance forecasting models, deploy pipelines, collaborate on diverse datasets, and mentor junior team members.

The Data Scientist II estimates, develops, and implements consumer credit models related to mortgage metrics and utilizes statistical methods and machine learning. This role involves cloud computing, data analysis, and communication of findings to nontechnical teams.

Develop and implement fraud detection models using machine learning techniques, analyze data for patterns, and optimize existing models for risk management.

Develop and implement fraud detection models using machine learning. Collaborate with teams and analyze data to enhance fraud prevention strategies.