Top Data Science Jobs in Chicago, IL
The Financial Data Scientist will analyze customer churn and deactivations, leveraging data to identify trends and develop forecasting models. Responsibilities include collaborating on retention strategies, conducting root cause analysis, and providing strategic recommendations to enhance customer retention. Proficiency in Python, SQL, and Alteryx is required for data analysis and reporting.
As a Data Scientist, you will create models for predicting order clearances and optimize pricing through experimentation. Your role involves developing data pipelines, automation, and deploying machine learning services with tools like Python and SQL.
As a Senior Data Scientist in Fraud Detection, you will analyze and mitigate fraud risks using advanced analytics and machine learning. Collaborate with product and engineering teams to build data-driven solutions and improve fraud detection strategies while maintaining an understanding of current trends.
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Looking for a Distinguished Engineer with 18+ years of experience in cloud architecture, data science solutioning, and machine learning design. Must have strong expertise in Python, Java, C#, and cloud platforms like AWS, Azure, or Google Cloud. Responsibilities include solution design, Agile practices, SOA, and microservices architecture.
The Operations Analyst will support the Revenue Cycle Management team by analyzing business operations, tracking metrics, and delivering reports. Responsibilities include monitoring client profitability, managing expenses, developing dashboards, and conducting executive reporting, requiring strong communication and analytical skills.
As a Contract Fax Filing & Data Accuracy Specialist, you will review and file incoming patient care faxes accurately, log care gaps, and ensure compliance with healthcare standards. This role is crucial for maintaining up-to-date patient records and supporting continuity of care in a clinical setting.
Seeking a Head of Data Science at Competera to lead the ML strategy, collaborate with stakeholders, mentor DS/ML teams, and drive innovation. Must have experience in a scale-up company, retail industry, and Python stack for ML. Desired skills include experience in Causal Inference, Probabilistic Programming, XAI development, and cloud architecture.
The Sr. Data Scientist will manage projects involving clinical data analysis, develop algorithms for real-world data insights, and collaborate with various teams to drive advancements in cancer care. Responsibilities include data wrangling, pipeline engineering, and supporting product development.
As a Senior Product Analyst, you will provide actionable insights, conduct product analytics and advanced analytics projects to support ecommerce brands. Responsibilities include preparing data for modeling, applying statistical analysis, and collaborating with stakeholders to define business questions and metrics.
The Research Associate role at a new AI startup involves data collection, QA, data analysis, and improving AI interactions with humans. This position offers opportunities for career advancement and learning new software skills on the job.
Top Companies in Chicago, IL Hiring Data + Analytics Roles
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