Job Information
IBM Data Scientist-Advanced Analytics in Shenzhen, China
Introduction
Build end-to-end decision intelligence using forecasting, operations research/optimization, and LLMs. Deliver production-ready models and LLM applications that improve planning and decision-making.
Your role and responsibilities
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Develop forecasting models (time series + ML/DL), feature pipelines, and backtesting/evaluation.
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Formulate and solve optimization problems (LP/MILP/CP); integrate solvers into business workflows.
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Build LLM/RAG/agent workflows for analysis, explanation, and decision support with grounding and guardrails.
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Productionize models: APIs/batch jobs, monitoring (drift/quality), retraining, documentation.
Required technical and professional expertise
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BS+ in CS/Math/Stats/OR or similar; strong Python and SQL.
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Proven forecasting experience (intermittent demand, promotions/holidays, model selection & evaluation).
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Solid optimization background and solver experience (OR-Tools/Gurobi/CPLEX/Pyomo/CVXPY).
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Hands-on generative AI: LLM apps, RAG, tool-calling/agents; basic LLM evaluation & safety.
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Good engineering practices (testing, CI/CD/MLOps, reproducibility).
Nice-to-have
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Domain experience in supply chain/manufacturing/logistics/finance.
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Advanced optimization or LLM fine-tuning (LoRA/QLoRA).
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.