Top Remote Data Science Jobs in Chicago, IL
Seeking a Staff Data Scientist to partner with engineering and product teams to analyze user behaviors, develop segmentation strategies, and drive key business decisions through analytics. Responsibilities include deep-dive analysis, experimentation design, and insights generation. Requires a strong background in analytics, statistical analysis, and communication skills. Preferred qualifications include advanced scripting language experience, Tableau skills, and predictive modeling expertise.
Join the Data Science & Analytics team at TIDAL to shape the future of streaming and artist products. Collaborate with cross-functional partners to drive data-driven decision-making and impact for users and the business. Remote-friendly role in the United States Eastern Time Zone.
Build AI and Machine Learning solutions for enterprise services, collaborate with a team of developers and product managers, work on cloud-based solutions, and ensure high-quality software delivery.
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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.
The Data Scientist role at TransUnion involves working on multi-million dollar customer engagements, analyzing quantitative marketing data, and developing expertise in big data, marketing, and consulting. Responsibilities include implementing multi-touch attribution models, marketing-mix models, and experimentation studies to enhance marketing effectiveness and ROI.
Join Square as a Senior Data Scientist in the Fraud Risk team to identify and prevent fraud and credit risks. Lead experiments to enhance risk effectiveness and partner with various teams to influence Square's global Risk roadmap. Develop data pipelines, ETL processes, and risk detection strategies to impact Square's priorities and Banking initiatives.
OppFi is seeking a Credit Reporting Analyst to join their Compliance department, resolving indirect and direct disputes related to credit reporting. The role involves collaborating with various teams to determine root causes of disputes and working with major credit bureaus. Ideal candidates have a Bachelor's degree, 1-2 years of experience in reviewing sensitive information, and proficiency in G-Suite and Microsoft Office. Desirable skills include knowledge of SQL, e-OSCAR system, and Metro 2 format.
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