Top Remote Data Science Jobs in Peoria, IL

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.

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

The Data Scientist will develop machine learning models to optimize software build processes, analyzing large datasets and collaborating with teams for improvements.

Lead the sales analytics function, transforming raw data into actionable insights, mentoring analysts, and developing dashboards in Tableau.

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.

The Staff Data Scientist will develop models for balancing patient demand and Registered Dietitian supply, optimize staffing and scheduling, and collaborate with multiple teams for data-driven decision making.

Develop electrical system ontology for data centers, deploy advanced anomaly detection using machine learning, monitor telemetry, and collaborate with teams to enhance reliability.

As a Senior Data Scientist, you will design forecasting models, analyze user behavior, and build data pipelines to drive business strategies and insights at Mozilla.

As a Senior Data Scientist, you will develop models to extract insights from complex datasets, focusing on temporal and geospatial features, while collaborating with engineering teams to implement solutions.

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.

As a Senior Data Scientist, you'll partner with teams to build data-powered tools, optimize performance metrics, and champion data adoption across departments.

The Data Scientist role involves analyzing complex datasets, developing machine learning models, collaborating with cross-functional teams, and contributing to data strategies for improving cancer care.

Lead the development and validation of analytical pipelines and statistical models, automate processes, mentor peers, and ensure compliance for clinical reporting.

As a Senior Data Scientist, you will develop and optimize machine learning models, design predictive models, collaborate with teams, and monitor AI/ML models.

The Senior AI Data Scientist will design and develop AI agents for marketing analytics in consumer lending, leveraging advanced Python and big data platforms.

This role involves building credit risk models, bridging data science with MLOps, ensuring model reliability, and supporting compliance tasks.

The Model Risk Data Scientist will develop model performance metrics, support model governance for financial partners, and automate model analysis processes using Python and SQL.

Lead data-driven decisions in weather and climate analytics by developing machine learning models, managing projects, and mentoring team members.

The Senior Data Scientist will develop and implement ML models for financial data, translating business challenges into data science problems and owning the entire model lifecycle.

As a Senior Data Scientist, you'll analyze complex data sets, develop predictive models, and collaborate with stakeholders to drive data-driven growth.

Lead complex projects leveraging AI and machine learning to deliver innovative data-driven solutions, requiring extensive experience and technical expertise.

The Staff Data Scientist will develop machine learning models, collaborate with cross-functional teams, and use analytics to drive business growth and improve credit risk assessment.

Design and build recommendation and personalization systems, conduct A/B testing and causal inference, and mentor the data team in best practices.