Applied Data Scientist

As an Applied Data Scientist on the Applied Research Group at GAINS, you will research, design, build, and deploy production ML models that directly improve supply chain outcomes for enterprise customers.

Requirements

• Bachelor's degree in Computer Science, Statistics, Data Science, Engineering, Operations Research, or a related technical field; or equivalent professional experience
• 3+ years hands-on experience in applied machine learning or data science roles, with models developed and deployed to production
• Strong Python skills with experience writing clean, maintainable, production-grade ML code
• 3+ years professional SQL experience, including complex queries against large enterprise datasets
• Deep understanding of statistical and machine learning methods: gradient boosting (LightGBM, XGBoost, CatBoost), regression, decision trees, clustering, time series techniques, and model evaluation methodology
• Experience with feature engineering for structured and tabular data, including domain-informed feature design, temporal feature construction, and feature selection techniques
• Demonstrated ability to design experiments, evaluate model performance rigorously, and iterate on approaches based on empirical results
• Experience building and maintaining ML pipelines—data ingestion, feature engineering, training, evaluation, deployment
• Working knowledge of cloud-based ML infrastructure (Azure preferred; AWS or GCP acceptable)
• Strong communication skills with the ability to explain model behavior, experimental results, and trade-offs to non-technical audiences
• Self-directed with a track record of owning ML projects end-to-end—from problem formulation through production delivery—with minimal supervision

Benefits

• Competitive compensation
• Benefits