Data Scientist
About The Position
fairlife, LLC is a Chicago-based nutrition company that creates great-tasting, nutrition-rich and dairy products to nourish consumers. With over $3B in annual retail sales, fairlife’s portfolio of delicious, lactose-free, real dairy products includes: fairlife® ultra-filtered milk; Core Power® High Protein Shakes, a sports nutrition drink to support post-workout recovery; fairlife® nutrition plan™, a nutrition shake to support the journey to better health. A wholly owned subsidiary of The Coca-Cola company, fairlife, LLC has been recognized by both Fast Company and Nielsen for its industry leading innovation. To learn more about fairlife and its complete line of products, please visit fairlife.com. job purpose: 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.
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)
- Knowledge of AI enablement concepts, including prompt engineering, model 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
- This position requires current authorization to work in the United States. Visa sponsorship is not available for this position.
Nice To Haves
- Experience in manufacturing and supply chain (preferred)
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 and model fine-tuning techniques to improve AI solution effectiveness
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
101-250 employees
