Key Responsibilities

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- Build demand and sales forecasting models across divisions and seasons.
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- Optimize inventory and replenishment processes.
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- Plan production and detect anomalies in process data.
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- Implement computer vision for fabric defect detection and garment grading.
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- Develop real models using time series, classification, optimization, and vision techniques on messy, seasonal data.
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- 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.
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- Determine when to build versus buy analytics capabilities.
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- Manage APIs, integrate SAP with BigQuery, and handle data governance and reporting layers.
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nRequirements

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