Top Remote Data & Analytics Jobs in Chicago, IL
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.
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The Data Engineer at AHEAD will build and support data platforms, design data pipelines for analytics and machine learning, and implement solutions using cloud-native tools. Responsibilities include processing data from diverse sources, troubleshooting issues, and collaborating with project teams to ensure timely delivery of data solutions.
As a Data and AI Specialist at Crunchbase, you will work to optimize LLM models by compiling prompts, collaborating with data scientists and engineers, and designing tools to support AI initiatives. You'll also evaluate model performance, ensure data accuracy, and stay updated on AI trends and best practices.
The Supply Chain Senior Analyst will oversee supply chain operations for various e-commerce micro-brands, managing inventory levels, procurement, vendor relationships, and fulfillment. Responsibilities include implementing inventory best practices, collaborating with logistics providers, developing supply chain strategies, and ensuring compliance with Amazon guidelines.
The Data Scientist II will develop predictive models using machine learning principles, prepare and clean data, and utilize cloud resources for data processing. Responsibilities include querying databases, applying data analysis, and visualizing results to support business strategies in a collaborative and fast-paced environment.
As a Data Architect, you will design, implement, and maintain a robust data architecture, supporting advanced analytics and business intelligence initiatives. You will collaborate with cross-functional teams to integrate data from various sources, create and maintain data models, establish data governance policies, and identify performance optimization opportunities.
The Data Architect will design and optimize the organization's data infrastructure to align with business goals and enhance data-driven decision-making. Responsibilities include developing data solutions using various Azure services, managing data architecture, ensuring compliance with regulations, and collaborating with cross-functional teams to meet data infrastructure needs.
As a Forecasting Modeling Principal at Guild, you will lead the development and implementation of advanced forecasting models, partner with various teams to drive strategic decisions, and mentor junior members. You will be responsible for producing insights and analyses to guide internal stakeholders and manage client programs effectively.
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.
The Staff Data Scientist will enhance data labeling capabilities at Pinterest by applying data science to improve throughput and quality of data collection. Responsibilities include identifying analytical opportunities, collaborating with engineers and customers, mentoring other data scientists, and evolving platform strategies in partnership with product and engineering leaders.
Top remote Companies in Chicago, IL Hiring Data + Analytics Roles
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