Top Data & Analytics Jobs in Chicago, IL
Research and develop color perception algorithms and computer vision for camera and AR applications, work on imaging technology for camera capture and augmented reality experiences, collaborate with cross-functional teams, and provide leadership for new project development.
As a Data Scientist with EverBright, you will develop machine learning models, analyze data quality, and optimize VPP dispatch. You will also work with distributed computing platforms and contribute code to product development teams.
As a Senior Analytics Engineer at Apollo.io, you will design and maintain data models, implement data engineering standards, and collaborate cross-functionally to deliver scalable data solutions. You will influence analytics infrastructure and provide strategic insights for business decision-making.
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The Senior Analyst will lead research study design, apply advanced statistical methods for survey and data analysis, mentor junior analysts, consult with clients on analytic solutions, and support business development initiatives. Responsibilities include project management, effective communication of findings, and overseeing data collection and evaluation efforts.
As a Senior Data Engineer at Hims & Hers, you will design and develop scalable data pipelines, optimize performance and data quality, and build infrastructure for data extraction and loading. You will collaborate with various teams to ensure data reliability, support analytics tools, and help deploy machine learning models while maintaining best practices in data management and compliance.
As a Senior Data Engineer, you will develop and maintain data pipelines using tools like Databricks and Airflow, write maintainable Python code, and design solutions with Kubernetes. You'll collaborate with Data Science teams to build scalable applications and manage data from diverse sources while ensuring effective communication across teams.
As a Senior Data Engineer (AI), you will design and maintain data pipelines, manage infrastructure, and integrate AI/ML applications. This role involves collaboration across teams to enhance data-driven decision-making and cybersecurity solutions.
The Lead Credit Analyst will conduct trend and portfolio analysis, optimize underwriting and credit decision-making, and collaborate with Analytics and Data Science teams. This role involves mentoring team members and promoting a data-driven culture.
The Data Scientist will work on custom software and machine learning solutions, contribute to alignment research and develop classification methods. Responsibilities include managing data science projects, employing statistical methods, using NLP, and collaborating in Agile environments while maintaining strong self-management skills.
The Senior Data Analyst will evaluate the impact of iMentor's programs by gathering and analyzing data, creating reports and visualizations, and providing analytics support across departments. The role requires a focus on data quality and measurable outcomes to improve program effectiveness.
Top Companies in Chicago, IL Hiring Data + Analytics Roles
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