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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** fairlife, LLC - **Location:** Chicago, IL, United States - **Experience:** Experienced - **Salary:** $95,000.0 - $110,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Continuous Integration, Data Cleansing, Python (Programming Language), Machine Learning, Performance Tuning, Power BI, Tensorflow, SQL Databases, Tableau (Software), Data Processing, Pytorch, Large Language Models, Prompt Engineering, Matplotlib, Scikit Learn, Kubernetes, Information Technology, Deployment Automation, Machine Learning Operations, Software Version Control, Data Pipelines - **Published:** September 26, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18444419?backUrl=%2Fcareer%2F18444419%2FData-Scientist-Illinois-Chicago ## About the Role * 2-4+ years of relevant experience in data science, AI engineering, or related fields * Bachelor's or Master's in Data Science, Computer Science, Statistics, Engineering, or a related STEM field * Experience in data cleaning, exploration, and analysis * Hands-on experience with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Proficiency in Python and SQL for data manipulation, analysis, and model development * Familiarity with cloud platforms (Azure/Fabric, AWS, or GCP) for scalable AI/ML deployment * Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines) * Experience applying large language models (LLMs), including prompt engineering and fine-tuning, and responsible AI practices * Ability to visualize data and model results using tools like Power BI, Tableau, Matplotlib, or Seaborn * Strong communication skills for collaborating with business and technical teams * Exposure to building AI agents or agentic workflows (e.g., LangChain, LangGraph) a plus * Experience in manufacturing and supply chain (preferred) ## Description * Collaborate with the Senior Data Scientist to design, develop, and deploy AI and ML models supporting analytics and business objectives * Engineer and maintain scalable data pipelines for AI/ML workflows * Enable AI adoption by developing reusable components, APIs, and automation scripts * Support model lifecycle management, including monitoring, retraining, and performance optimization * Implement MLOps best practices for version control, CI/CD, and automated deployment * Assist in the development of advanced analytics dashboards and tools to communicate model results * Apply prompt engineering, retrieval-augmented generation (RAG), and fine-tuning to build effective large language model (LLM) solutions * Build and integrate LLM-powered agents to automate multi-step tasks and workflows that complement traditional ML models * Ensure responsible AI practices, including fairness, transparency, and compliance * Gather, clean, and analyze large and complex datasets to support AI initiatives * Conduct experiments and statistical analyses to answer business questions and validate AI models * Stay current with emerging AI technologies and recommend innovative solutions, As our recruitment is primarily handled in-house, we work only occasionally with external agencies, and only those on our existing, pre-approved vendor list. 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