Top Remote Data Science Jobs in Chicago, IL

The Director of Data Science & Analytics will lead a team to drive strategic insights through data analytics in the Amazon marketplace. Responsibilities include leveraging technology for innovative solutions, optimizing reporting tools, conducting market research, fostering a data-driven culture, and ensuring compliance and data integrity. This role involves collaboration across multiple teams to identify new opportunities and improve business strategies.

As a Data Science Co-op at Jellyfish, you will help develop algorithms, create machine learning models, and analyze data to provide insights for engineering teams. You will collaborate with customers and contribute to marketing efforts while exploring applied mathematics and machine learning.

As a Staff Applied Scientist at Samsara, you will lead the design and implementation of AI product initiatives while working with petabyte-scale data. Your role involves developing both tactical and strategic AI solutions, collaborating across business units, and staying updated with industry research.

The Revenue Operations Senior Analyst will manage pipeline reporting and forecasting, design compensation plans, conduct data analysis, and collaborate with sales teams to enhance operational efficiency. Responsibilities include maintaining reports, supporting sales enablement, and optimizing processes through automation.

As a Research Engineer at Chainlink Labs, you will define research agendas, drive projects that enhance decentralized oracle technologies, and maintain Chainlink's leadership in smart contract ecosystem solutions, while collaborating with a cross-disciplinary team to innovate in applied cryptography and security.

The Senior Data Scientist role focuses on leveraging data to guide product decisions, conduct quantitative research, design experiments, and collaborate with product teams to enhance product features and metrics at Thumbtack.

This role involves driving engagement data science work for Instacart by focusing on product strategy and intelligent systems. Responsibilities include utilizing data to identify opportunities, estimating impact of new features, conducting experiments for impact measurement, and improving features through advanced data science methods including statistical and machine learning techniques.