About this role
The Decision Intelligence team at fairlife is building an advanced ecosystem of artificial intelligence and machine learning models to support a major nutrition company. This group focuses on designing and delivering solutions for production optimization, quality control, anomaly detection, predictive maintenance, and real-time operational analytics.
Working alongside senior colleagues, the incoming data scientist will engineer scalable data pipelines, deploy machine learning frameworks, and integrate large language models with AI agents to automate workflows. The position exists to drive operational efficiency and leverage data-driven insights across manufacturing and supply chain operations. Candidates with a strong background in Python, machine learning workflows, and practical experience applying AI to industrial data will find a suitable environment here.
What you will do
- Collaborate with the Senior Data Scientist to design, develop, and deploy artificial intelligence and machine learning models that support analytics and business objectives.
- Engineer and maintain scalable data pipelines to support artificial intelligence and machine learning workflows.
- Enable artificial intelligence adoption by developing reusable components, application programming interfaces, and automation scripts.
- Support model lifecycle management activities, including performance monitoring, retraining, and optimization.
- Implement machine learning operations best practices for version control, continuous integration, and automated deployments.
- Apply prompt engineering, retrieval-augmented generation, and fine-tuning to build large language model solutions.
- Gather, clean, and analyze large and complex datasets to support various technical initiatives.
What you need
- Possess two to four or more years of relevant experience in data science, artificial intelligence engineering, or related fields.
- Hold a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related STEM field.
- Demonstrate hands-on experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Show proficiency in Python and SQL for data manipulation, analysis, and model development.
- Bring familiarity with cloud platforms like Azure, AWS, or GCP for scalable deployments.
- Display experience with machine learning operations tools and practices such as MLflow, Kubeflow, and continuous integration pipelines.
- Exhibit strong communication skills for collaborating effectively with business and technical teams.
Nice to have
- Experience in manufacturing and supply chain
- Exposure to building AI agents or agentic workflows using tools like LangChain or LangGraph
Benefits
- Comprehensive medical, dental, and vision coverage effective day one
- Paid Time Off and paid parental leave with adoption assistance up to $10,000
- 401(k) retirement planning with up to 9% employer match
- Wellness reimbursement up to $500 for qualified wellbeing expenses
- Tuition reimbursement up to $10,000 and student loan repayment at $200 per month
- Employer Health Savings Account funding for high-deductible health plan participants
Skills and tech stack
Questions candidates ask
What is the salary range for this role?
The base pay range for this position is $95,000 to $110,000 USD. Base pay offered may vary depending on geography, job-related knowledge, skills, and experience.
Where is the position located?
This role is located in Chicago, Illinois, at fairlife's headquarters. Travel requirements for the position are less than ten percent.
What kind of technical background is required?
Applicants need two to four or more years of relevant experience in data science or artificial intelligence engineering. The role requires proficiency in Python and SQL, alongside hands-on experience with machine learning frameworks.
Who does this position report to?
The data scientist reports directly to the Senior Data Scientist, Decision Intelligence. The work involves close collaboration with this senior team member to design and deploy models.