Data Engineer

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.
• Strong 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.