Top Remote Data Science Jobs in Chicago, IL
Seeking a Deep Learning Research Scientist to create novel deep learning systems with a focus on open source projects. Responsibilities include designing and developing generative AI systems, improving existing deep learning systems, and advancing the research agenda. Must have a master's degree in Computer Science or related, 5+ years of deep learning experience, strong background in deep learning theory and techniques, and proficiency in Python.
Hiring a Staff Data Scientist to lead the programmatic ads business at Cash App, focusing on optimizing marketing efforts, analyzing large datasets, and building strategic partnerships with product and sales teams. Responsible for driving growth and decision-making through data-driven insights and modeling techniques.
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.
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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.
The Advanced Analytics and Data Science Platforms Manager at Mondelēz International is responsible for overseeing platform-related activities, multi-cloud integration strategies, and efficient administration of analytics and data science platforms. The role involves collaborating with cross-functional teams, managing user access, resource allocation, performance optimization, security and compliance, integrations, troubleshooting, upgrades, documentation, and training.
The Geospatial Data Scientist Expert at Arity will be responsible for working with large geospatial datasets, building spatial and machine learning models, and identifying business opportunities for geospatial data science. They will also collaborate with cross-functional teams to develop solutions and enhance Arity's products in the transportation industry.
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.
Lead the development of Large Language Models for Enterprise Language Generation to power AI experiences on the NOW platform. Collaborate with engineering and product teams, build elegant architectures, architect reusable components, and influence leadership on AI strategies and trends.
Senior Data Scientist role focusing on marketing analytics and optimization for a SaaS company. Responsibilities include evaluating and improving marketing measurement, developing quantitative models, analyzing customer behavior data, and collaborating with cross-functional teams. Requires a Bachelor's degree in a quantitative discipline and 5+ years of experience using analytics for business decisions.
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