Top Data Science Jobs in Chicago, IL
As a Senior Revenue Operations Analyst, you will oversee sales process planning and optimization, ensuring data accuracy in Salesforce and improving revenue operations. Key responsibilities include opportunity management, data analysis, and reporting, collaborating with sales and IT teams to enhance processes and outcomes.
The Senior Software Engineer role entails developing web applications and APIs within an Agile Scrum team. Responsibilities include collaborating on new features, solving technical problems, mentoring colleagues, and leading technical projects while adhering to coding standards and best practices.
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.
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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.
Conduct detailed analyses, create Data Science roadmaps, communicate methodologies, work on end-to-end solutions, identify solutions for client problems.
The Data Science Manager at PayPal will focus on Pricing & FX Optimization, analyzing performance of pricing strategies using various analytical methods to drive financial benefits while enhancing customer experience. The role emphasizes rigorous data analysis and participation in discussions on monetization strategy.
Seeking an experienced Senior Data Scientist to lead client-facing project delivery, develop advanced machine learning models, and drive data-driven decision making. Responsibilities include identifying AI-ready use cases, designing and implementing ML models, collaborating with teams, leading projects, and educating stakeholders. Qualifications include a Bachelor's or Master's degree in a related field, 5 years of data science experience, proficiency in Python and relevant libraries, and experience with cloud platforms and ML algorithms.
The Senior Applied Analytics Analyst will provide business analytics for new product development, client consultation, and benefit plan analysis. Responsibilities include executing department-specific reporting, verifying data integrity, analyzing data sets, supporting client consultations, and leveraging statistical methods to identify solutions.
The Revenue Cycle Data Analyst is responsible for creating reports, designing analytical dashboards, analyzing data for metrics, and collaborating with teams for financial reporting. The role requires solid understanding of revenue cycle management processes and entails attending meetings to present findings.
As an AI Quantitative Strategist at WorldQuant, you will develop and implement AI/ML models for trading optimization and investment strategies. You will work collaboratively on innovative projects while leveraging state-of-the-art data and systems. The role emphasizes building infrastructure for AI and involves explaining model business value to stakeholders.
Top Companies in Chicago, IL Hiring Data + Analytics Roles
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