Data Scientist

On Site Full TimeChicago, Illinois, United Statesfairlife

Role Overview

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.

What You Will Do

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, and apply prompt engineering, retrieval-augmented generation (RAG), and fine-tuning to build effective large language model (LLM) solutions.

Why It Might Be a Fit

The ideal candidate will have 2-4+ years of relevant experience in data science, AI engineering, or related fields, and a strong understanding of machine learning and deep learning frameworks, cloud platforms, and MLOps tools and practices.

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

Benefits

  • Comprehensive medical, dental, and vision coverage
  • 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

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To apply for this job please visit job-boards.greenhouse.io.


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