Top Remote Data Science Jobs in Chicago, IL

Seeking a skilled Data Scientist/Machine Learning Engineer to develop machine learning models, design AI systems, and collaborate in data analytics. Responsibilities include productionizing models, data engineering, and cross-functional collaboration.

The Staff Data Scientist will lead the design and implementation of AI solutions for fraud detection, mentor team members, and collaborate with various stakeholders to deliver robust data products.

The Data Scientist II (RWD) will analyze real-world insurance claims and EHR data, conduct statistical analysis, and develop AI models while collaborating with experts to produce insights and communicate findings.

As a Senior Data Scientist at Gradient AI, you'll design predictive models for insurance underwriting, analyze large datasets, and collaborate with cross-functional teams.

The Senior Data Scientist at Coinbase will analyze ambiguous problems, own core metrics, and drive data science projects, impacting business decisions.

As a Senior Product Data Scientist, you'll analyze customer behavior, optimize user retention and marketplace efficiency, and drive product strategy through data insights and SQL querying.

The Data Scientist will develop machine learning applications, conduct data exploration and analysis, and improve team operations, collaborating closely with stakeholders.

The Marketing Data Scientist will analyze lead funnel efficiency, marketing measurement, and provide insights for optimizing marketing strategies through collaboration with various stakeholders.

As a Data Scientist at Reddit, you will analyze data, develop machine learning models, and collaborate with teams to enhance the advertising platform.

As a Staff Data Scientist II, you'll lead research on lead segmentation and bidding optimization, mentor team members, and deliver high-impact solutions using advanced quantitative techniques.

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

The Data Scientist will develop and optimize machine learning models, perform data analysis, and collaborate with teams in a FinTech environment.

The Data Scientist will analyze LLM search data, define core metrics, run experiments, build predictive models, and collaborate with teams to enhance product strategy and marketing effectiveness.

The Staff Data Scientist will lead studies using real-world healthcare data to drive drug discovery, collaborating with cross-functional teams and generating patient-centered insights.

Seeking a Data Scientist II to develop AI systems for biomedical applications. Responsibilities include building data pipelines, optimizing AI algorithms, and collaborating with researchers to enhance biomedical research efforts.

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 role involves designing and analyzing experiments for Open Connect, building experimental tooling, delivering insights, and collaborating with cross-functional 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.

As a Staff Data Scientist, you will lead quantitative measurement efforts, develop causal inference methods, build ML models, and drive payment strategies via data insights.

As a Data Scientist, you'll develop predictive models and analytics tools to enhance athlete evaluation and team performance, collaborating closely with sports organizations on data-driven insights.

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

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

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