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