Data Scientist

fairlife•Chicago, IL

12d•Onsite

About The Position

The Data Scientist will play a key role in advancing fairlife's vision of establishing a world-class Decision Intelligence ecosystem. This role entails supporting the design, development, and delivery of AI and ML models including production optimization, quality control and anomaly detection, predictive maintenance, supply chain forecasting, and real-time operational analytics. The role will drive innovation and excellence in data science capability, empowering fairlife to leverage data-driven insights for enhanced decision-making and operational efficiency. Increasingly, this work also includes applying large language models (LLMs) and AI agents to automate workflows and augment traditional models where they add value.

Requirements

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

Nice To Haves

Experience in manufacturing and supply chain

Responsibilities

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

Benefits

Comprehensive medical, dental, and vision coverage, effective day one!
Supplemental health plans (hospital indemnity, accident, and critical illness insurance)
Paid Time Off to recharge and support work-life balance
Paid parental leave & adoption assistance (up to $10,000)
Parental support & family care benefits, including childcare resources and lactation support
401(k) to support retirement planning with up to 9% in employer match
Wellness reimbursement (up to $500 for qualified wellbeing expenses)
Employee Assistance Program (EAP) for emotional wellbeing and work-life support
Company-paid life insurance and short-term disability
Employer HSA funding (for HDHP participants)
Tuition reimbursement (up to $10,000) and student loan repayment ($200/month)
Learning & development programs to unlock your full potential
Rewards & recognition, matching gifts, free product, and Business Resource Groups