Data Scientist

<div class="content-intro"><p>fairlife, LLC is a Chicago-based nutrition company that creates great-tasting, nutrition-rich and dairy products to nourish consumers.</p> <p>With over $3B in annual retail sales, fairlife’s portfolio of delicious, lactose-free, real dairy products includes: <strong>fairlife® ultra-filtered milk</strong>; <strong>Core Power®</strong> High Protein Shakes, a sports nutrition drink to support post-workout recovery; <strong>fairlife® nutrition plan™</strong>, a nutrition shake to support the journey to better health.</p> <p>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.</p> <p>To learn more about fairlife and its complete line of products, please visit <a href="http://www.fairlife.com">fairlife.com</a>.</p></div><p><strong>job purpose</strong>: 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.</p> <p><strong>responsibilities: </strong></p> <ul> <li>Collaborate with the Senior Data Scientist to design, develop, and deploy AI and ML models supporting analytics and business objectives</li> <li>Engineer and maintain scalable data pipelines for AI/ML workflows</li> <li>Enable AI adoption by developing reusable components, APIs, and automation scripts</li> <li>Support model lifecycle management, including monitoring, retraining, and performance optimization</li> <li>Implement MLOps best practices for version control, CI/CD, and automated deployment</li> <li>Assist in the development of advanced analytics dashboards and tools to communicate model results</li> <li>Apply prompt engineering and model fine-tuning techniques to improve AI solution effectiveness</li> <li>Ensure responsible AI practices, including fairness, transparency, and compliance</li> <li>Gather, clean, and analyze large and complex datasets to support AI initiatives</li> <li>Conduct experiments and statistical analyses to answer business questions and validate AI models</li> <li>Stay current with emerging AI technologies and recommend innovative solutions</li> </ul> <p>&nbsp;</p> <p><strong>skills/qualifications required: </strong></p> <ul> <li>2-4+ years of relevant experience in data science, AI engineering, or related fields</li> <li>Bachelor’s or Master’s in Data Science, Computer Science, Statistics, Engineering, or a related STEM field</li> <li>Experience in data cleaning, exploration, and analysis</li> <li>Hands-on experience with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)</li> <li>Proficiency in Python and SQL for data manipulation, analysis, and model development</li> <li>Familiarity with cloud platforms (Azure/Fabric, AWS, or GCP) for scalable AI/ML deployment</li> <li>Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines)</li> <li>Knowledge of AI enablement concepts, including prompt engineering, model fine-tuning, and responsible AI practices</li> <li>Ability to visualize data and model results using tools like Power BI, Tableau, Matplotlib, or Seaborn</li> <li>Strong communication skills for collaborating with business and technical teams</li> <li>Experience in manufacturing and supply chain (preferred)</li> </ul> <p><strong><em><span data-teams="true">This position requires current authorization to work in the United States. Visa sponsorship is not available for this position.</span></em></strong></p> <p><strong>location: </strong>Chicago, IL</p> <p><strong>reports to</strong>: Senior Data Scientist, Decision Intelligence</p> <p><strong>travel:</strong> &lt; 10%</p> <p><strong>exempt vs. nonexempt: </strong>exempt</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>*Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.</p></div><div class="title">Base pay range:</div><div class="pay-range"><span>$80,000</span><span class="divider">&mdash;</span><span>$100,000 USD</span></div></div></div><div class="content-conclusion"><p><em>fairlife, LLC is an equal opportunity employer. We do not discriminate on the basis of&nbsp;</em><em>race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. All qualified applicants and employees will be given equal opportunity. Selection decisions are based on job-related factors.</em></p> <p><em>In addition to its nondiscrimination commitment, the Company will also provide reasonable accommodation of qualified individuals with known disabilities unless doing so would impose an undue hardship on the Company. If you have a disability and would like to request accommodation in order to apply for a position with us, please email&nbsp;</em><em><a href="mailto:[email protected]">[email protected]</a></em>.</p> <p><em><strong><br>For Recruitment Agencies<br><br></strong></em><em data-olk-copy-source="MessageBody">At fairlife, we manage the majority of our hiring internally through our dedicated Talent Acquisition team, which is actively engaged in direct candidate sourcing. Most of our roles are filled through applications submitted via our careers site or through direct outreach by our team.</em></p> <p></p> <div class="x_elementToProof"> <p class="x_elementToProof"><em>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. At this time, we are not reviewing or expanding that list.</em></p> </div> <div class="x_elementToProof"> <p class="x_elementToProof"><strong><em>Unsolicited resumes or submissions from external agencies not authorized by our Talent Acquisition team will be considered direct candidate applications. As such, fairlife will not assume responsibility for any placement fees associated with these submissions.</em></strong></p> </div> <div class="x_elementToProof"><br></div></div>