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Data Scientist I Prescriptive AI
Data Scientist
Entry‑level Data Scientist focused on building prescriptive AI solutions using Python, machine learning, CPLEX optimization, and DB2 data warehousing, with experience in discrete event simulation and data pipeline development.
About the role
Key Responsibilities
- Design and implement prescriptive AI models that generate actionable recommendations for business processes.
- Develop and maintain data pipelines and warehousing solutions using IBM DB2 to support large‑scale analytics.
- Apply IBM CPLEX to formulate and solve optimization problems within simulation environments.
- Build, test, and validate machine‑learning models in Python for predictive and prescriptive use cases.
- Collaborate with cross‑functional teams to integrate simulation results into decision‑support tools.
Requirements
- Bachelor's degree in Computer Science, Data Science, Operations Research, or related field.
- Proficiency in Python and common ML libraries (e.g., scikit‑learn, pandas).
- Hands‑on experience with IBM CPLEX for optimization modeling.
- Familiarity with IBM DB2 and data warehousing concepts.
- Understanding of discrete event simulation techniques and ability to translate business scenarios into simulation models.
Skills
pythonmachine learning