Top Remote Data Science Jobs in Chicago, IL
Join Square as a Senior Data Scientist in the Payment Risk team. Use advanced statistical techniques to improve risk controls, prevent fraud, and influence product roadmaps. Develop data pipelines, ETLs, and machine learning solutions to protect sellers from bad actors. Collaborate with cross-functional teams to drive innovative risk solutions and enhance the seller experience. Ideal for experienced professionals with a strong background in statistics and machine learning.
As a Senior Data Scientist in the Food & Beverage team at Square, you will use data engineering, business intelligence, analytics, statistics, and machine learning to empower data-driven decision-making for product development and customer experience. You will lead efforts in defining metrics, providing insights to sellers, and collaborating with cross-functional partners to drive strategic decisions.
As a Decision Scientist at Cash App, apply data-driven techniques to identify opportunities, participate in project definition, and impact business strategy outcomes. Responsible for implementing customer-facing decisions and risk controls using statistical modeling and A/B experimentation. Collaborate with ML teams to inform model evaluations and create offline ML models for decision making. Embedded in the Risk (Cash Card ML) team focusing on automating policies for Cash Card disputes and other transaction types.
Join our world-class Data Science team at Atlassian to drive insights about products and customers. Collaborate with cross-functional partners, apply technical expertise in quantitative analysis, and shape product development. Required qualifications include 8+ years of experience, proficiency in SQL and Python/R, expertise in storytelling with data, and proven impact on business strategy through analytics.
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The Senior Data Operations Specialist at ServiceNow plays a significant role in evolving data services and capabilities for AI and Machine Learning solutions, providing support to engineering teams, and ensuring superior service in handling customer datasets.
Seeking a Director of Data Science to lead a team in leveraging data for business decisions, optimizing marketing strategies, and driving revenue growth. Must have experience in customer lifecycle analysis, digital campaigns, and growth analytics in a SaaS environment. Responsibilities include developing quantitative models, identifying trends, and building data foundations for long-term growth.
Join Arity's Geospatial Data Science team to build scalable distributed machine learning models and extract innovative insights from raw GPS data. Help make transportation smarter, safer, and more useful for everyone by creating actionable insights from geospatial data.
The Data Scientist will collect domain context, define hypothesis and prediction tasks, conduct experiments with algorithms, develop models, automate training and predictions, identify insights, and communicate model outputs to stakeholders. Additionally, responsibilities include solving complex business issues, coaching teams, and advising stakeholders on technical issues.
Responsible for extracting, managing, and analyzing data within the company. Conduct research on business data and communicate findings to stakeholders. Set up processes and systems to work with data efficiently. Manage and escalate risk and customer-impacting issues to management.
Join the Analytics team of a high-growth Population Health and Analytics software company as a Senior Analyst. Responsible for creating high-value analytics for enterprise customers, developing patient stratification models, delivering dashboards, and analyzing claims data. Collaborate with various teams and be a subject matter expert on the company's analytics product.
Build predictive models, analyze data trends, support model implementation, develop tools, establish metrics, conduct A/B testing, collaborate with teams, and communicate strategies.
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