Top Remote Data Science Jobs in Chicago, IL

The Data Scientist will build predictive models and analyze consumer risk behavior using advanced analytics and statistical modeling. Responsibilities include developing automated reporting dashboards, conducting A/B testing, supporting model implementation, and collaborating with cross-functional teams to derive actionable insights from data.

As a Director of Data Science and AI, you will lead a team to apply quantitative methods and develop ML models to deliver customer value and support product development. You will oversee AI/ML solutions, enhance data infrastructure, and collaborate with cross-functional teams while managing and inspiring your team to achieve strategic goals.

The Senior Data Scientist will develop and implement data science strategies, design and deploy AI/ML models and algorithms, and manage the end-to-end data science process to drive business growth. Responsibilities include optimizing models, leading initiatives, and ensuring data model quality through rigorous testing.

The Sr. Data Scientist will analyze large datasets to prevent fraud in consumer SaaS applications, develop predictive models, and implement algorithms for fraud detection. Responsibilities include real-time monitoring system design, collaboration with teams on risk management, and performance improvement for analytics models.

The Revenue Operations Senior Analyst at Fusion will focus on pipeline management, compensation design, data analysis, sales enablement, and process improvement. The role involves collaborating with sales leadership to drive revenue growth through accurate forecasting, commission calculations, and actionable insights derived from data analysis.

The Data Scientist - Architect will design, develop, and support high-performing machine learning solutions using Azure tools, and communicate technical details effectively. Responsibilities include assisting business development, conducting customer meetings to determine requirements, and driving solution architecture for Azure consumption.

Lead data science initiatives at Boomi, focusing on machine learning, NLP, and statistical modeling. Collaborate cross-functionally to implement solutions, mentor junior team members, and present findings. Prepare reports for executive leadership and represent the company at industry conferences while evaluating AI services.