Data Scientist
1 week ago
Role & responsibilities :
- 5+ years of hands-on experience in data science, with a focus on S&OP , supply chain, manufacturing, or logistics preferred.
- Deep expertise in machine learning (regression, classification, clustering, time-series), deep learning (CNNs, RNNs, Transformers), and reinforcement learning.
- Proven experience with Generative AI (e.g., GPT, diffusion models) and Agentic AI or multi-agent systems.
- Advanced programming skills in Python with experience in ML libraries (PyTorch, TensorFlow, Scikit-learn, XGBoost, Hugging Face, etc.).
- Experience with cloud platforms (AWS/GCP/Azure), containerization (Docker), and deployment pipelines.
- Strong business acumen and the ability to align technical solutions with supply chain goals and KPIs.
- Excellent communication skills with the ability to distill complex ideas for diverse continuously track emerging AI/ML trends and evaluate their relevance to supply chain strategy and automation.
- Coach junior data scientists and shape the internal data science best practices.
Preferred candidate profile
- Experience with real-time analytics and streaming data (Kafka, Spark).
- Hands-on experience with LangChain, OpenAI API, or ReAct/AutoGPT-style architectures.
- Familiarity with optimization techniques (e.g., MILP, heuristics).
- Knowledge of NLP use cases in supply chain/S&OP contract parsing, vendor correspondence, part classification.
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