Key Responsibilities

- Build demand and sales forecasting models across divisions and seasons. - Optimize inventory and replenishment processes. - Plan production and detect anomalies in process data. - Implement computer vision for fabric defect detection and garment grading. - Develop real models using time series, classification, optimization, and vision techniques on messy, seasonal data. - Deploy models within various departments (planning, merchandising, supply chain, retail operations, finance, manufacturing, quality) by shadowing work processes, training staff, building champions, and writing SOPs. - Determine when to build versus buy analytics capabilities. - Manage APIs, integrate SAP with BigQuery, and handle data governance and reporting layers.

Requirements

- 8+ years of experience in data science, analytics, and technical delivery, with a focus on user-facing deployment.



- Proficiency in forecasting techniques (ARIMA, Prophet, LSTM, XGBoost), regression, classification, clustering, and anomaly detection. - Experience in supply chain analytics and computer vision is a significant advantage. - Solid skills in Python, SQL, TensorFlow/PyTorch/Scikit-learn, Power BI or Tableau, and BigQuery or Spark. - Comfortable extracting data from SAP or any ERP. - Hands-on experience with applied AI on real problems, including prompting, retrieval, agents, and honest evaluation. - Evidence of teaching non-technical teams and ensuring sustained adoption of new workflows. - Preferred experience in textile, apparel, or garment industries; otherwise, manufacturing or physical operations. - Fluent in Hindi and English.

📌 Data Scientist (Mumbai)
🏢 GoodSpace AI
📍 Mumbai