Top Remote Senior Level Data Science Jobs in Chicago, IL
Building Large Language Models for Enterprise Language Generation at ServiceNow's Advanced Technology Group. Research, propose, implement, and scale LLM's as a key AI-first platform offering. Collaborate with a team to develop high-quality software solutions for customers.
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.
Join Square's Risk Data Science and Analytics Team as a Senior Data Scientist to improve risk controls through statistical and analytical techniques, prevent fraud, and impact key success metrics with machine learning solutions. Collaborate with various teams to develop data-driven solutions and influence product roadmaps.
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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.
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.
Build predictive models, analyze data trends, support model implementation, develop tools, establish metrics, conduct A/B testing, collaborate with teams, and communicate strategies.
Lead a high-performing data science team, build scalable recommendation systems, provide strategic direction for innovative personalization experiences, advocate for data capabilities advancement, and leverage A/B testing to enhance user engagement.
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