Top Data Science Jobs in Chicago, IL
As a Product Data Scientist at Rec Room, you will analyze player behavior to enhance engagement, retention, and monetization. You'll lead analytics experiments, mentor junior analysts, and collaborate with game designers and engineers to deliver strategic insights. Your role includes producing actionable insights through statistical techniques and optimizing the player experience by measuring key metrics.
The Senior Revenue Operations Analyst at Apptegy will analyze performance data, develop forecasts, and collaborate with sales and client success teams to refine methodologies for client health scoring and commission structures, driving revenue growth and operational effectiveness.
As a Staff Data Scientist at Zora, you will manage complex data challenges, design and build data systems like ETLs and dashboards, and promote a culture of experimentation through A/B testing. You will also develop metrics for products and contribute to algorithms and recommendations, collaborating with stakeholders to drive data-led decisions.
The Senior Software Engineer will lead or collaborate on the design, development, and deployment of software features, ensuring clean, reusable coding standards and effective problem-solving with clients. This role involves improving code architecture and maintaining high-quality documentation.
As a Data Scientist/Analyst at PayZen, you will develop statistical and machine learning models to improve patient engagement and financial processes. Responsibilities include collaborating with teams to optimize data strategies, designing AI/ML model infrastructure, and executing A/B tests to drive unbiased insights for better business outcomes.
The Senior Data Scientist will architect, design, and implement generative AI models for ASR and TTS applications, leveraging LLMs. Responsibilities include training and optimizing models, collaborating with cross-functional teams, and innovating existing models while staying updated on the latest advancements in generative AI.
As a Data Engineer at Archive, you will build data pipelines, develop AI use cases, architect data infrastructure, and improve reporting practices. You will work with large datasets and collaborate with various teams to solve complex problems and enhance product metrics.
The Senior Field Application Scientist will manage customer application needs for genomic analysis, train customers on new processes, provide troubleshooting support, develop workflows, and represent the company at customer sites and scientific conferences.
As a Senior Data Scientist at Phantom, you'll empower teams with data-driven insights, develop metrics to measure product impact, and work collaboratively with various stakeholders to influence product decisions. Your role will focus on analyzing large data sets, experiment design, and supporting the growth of the crypto wallet product.
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