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Data Scientist
- Chicago, Illinois, United States
- Chicago, Illinois, United States
Über
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
skills/qualifications required:
2-4+ years of relevant experience in data science, AI engineering, or related fields Bachelors or Masters 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 Experience in manufacturing and supply chain (preferred)
This position requires current authorization to work in the United States. Visa sponsorship is not available for this position. location: Chicago, IL reports to: Senior Data Scientist, Decision Intelligence travel: exempt vs. nonexempt: exempt *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. Base pay range: $80,000 - $100,000USD fairlife, LLC is an equal opportunity employer. We do not discriminate on the basis ofrace, 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. 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 emailcareers@fairlife.com.
For Recruitment Agencies 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. 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. 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.
Sprachkenntnisse
- English
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