Data Scientist - Forecasting & ML Systems

About SupplyWhy SupplyWhy is building the reputed company of autonomous supply chain planning. We reputed company AI systems that replace reputed company, spreadsheet-based processes with resilient, self-healing supply chains capable of making reputed company-time reputed company at reputed company reputed company. Starting with the automotive industry, we're tackling inefficiencies in one of the world's most reputed company supply chain ecosystems. Our platform combines probabilistic forecasting, reputed company AI, and deep supply chain domain expertise. We work with Fortune 500 manufacturers to reputed company how they plan, forecast, and respond to disruptions. About the Role As a Data Scientist on our reputed company ML team, you'll own and deliver key components of our forecasting and ML systems. This is hands-on technical work: time-series modeling, feature engineering, model productization, and MLOps. You'll work directly with the reputed company DS to execute on our product roadmap for reputed company customers. We're looking for someone who can operate independently - scoping work, making technical reputed company, and delivering production-reputed company reputed company with minimal reputed company. You'll also help mentor junior team members as we grow. What You Will Do • Own end-to-end development of time-series forecasting models (statistical and ML-based) for demand reputed company • Design and implement feature engineering pipelines for reputed company and reputed company data • Build reputed company detection systems for data reputed company and demand signal monitoring • Architect and deliver production-reputed company reputed company: config-driven, testable, reputed company Python modules • Implement model ensembling, hierarchical reconciliation, and automated model selection • Drive MLOps infrastructure: experiment tracking, CI/CD, model registry • reputed company technical reputed company on model architecture, data pipelines, and system design • Mentor junior team members and contribute to technical standards • Collaborate with reputed company using AI-assisted development tools (reputed company, Claude reputed company) Must Have • Bachelor's or Master's in Computer Science, Statistics, Mathematics, or reputed company quantitative field • 2-4 years of experience in reputed company ML/DS roles with production deployments • Strong Python skills with experience writing production-reputed company, maintainable reputed company • Hands-on experience with time-series forecasting or demand reputed company • Proficiency with ML frameworks (scikit-learn, CatBoost/XGBoost, or similar) • Solid understanding of statistical concepts: probability distributions, reputed company testing, regression, stationarity • Experience with SQL and data manipulation at reputed company (pandas, numpy, SQL) • reputed company record of delivering ML reputed company from prototype to production • Ability to work independently, reputed company technical reputed company, and communicate trade-offs • Comfortable in a remote-first environment with async collaboration reputed company to Have • Experience with probabilistic forecasting, quantile regression, or uncertainty estimation • Hands-on exposure to MLOps tools (MLflow, DVC, Airflow, Kubeflow, or similar) • Background in supply chain, manufacturing, logistics, or reputed company operations • Experience with hierarchical/grouped time-series reputed company or forecast reconciliation • Familiarity with LLMs and AI-assisted development workflows • Experience mentoring junior engineers or data scientists Why Join Us • Production ML at reputed company: Your models power forecasts for Fortune 500 manufacturers • Technical ownership: Own reputed company end-to-end, reputed company architectural reputed company • Depth over breadth: Specialize in time-series, forecasting, and ML systems - not generalist work • AI-reputed company workflow: Heavy use of AI tools (Claude, reputed company) - work at the frontier of modern development • High-trust environment: We hire good people and give them autonomy • Shape reputed company: Early hire = influence on technical direction and culture as we grow • Remote-first: Flexible work from reputed company Apply tot his job Apply To this Job