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Data Scientist - AI - Managing Consultant - IBM
Data Scientist
Lead AI and data science initiatives for enterprise clients, driving hybrid cloud transformations with IBM Cloud and Red Hat technologies. Deliver end‑to‑end solutions from data strategy to model deployment, ensuring measurable business impact.
About the role
Key Responsibilities
- Design and implement end‑to‑end AI solutions, from data ingestion and feature engineering to model training and deployment on IBM Cloud.
- Collaborate with cross‑functional teams to translate business problems into data science strategies and actionable insights.
- Lead model validation, performance monitoring, and continuous improvement cycles, ensuring robust, scalable solutions.
- Communicate complex technical concepts to non‑technical stakeholders, facilitating data‑driven decision making.
- Mentor junior data scientists and contribute to best‑practice frameworks within the consulting practice.
Requirements
- 5+ years of experience in data science or AI consulting, with a strong portfolio of production‑grade models.
- Proficiency in Python, SQL, and machine learning libraries (scikit‑learn, TensorFlow, PyTorch).
- Hands‑on experience deploying models on IBM Cloud and integrating with Red Hat OpenShift.
- Excellent problem‑solving skills and ability to work in fast‑paced, client‑facing environments.
- Strong communication skills and a proven track record of influencing business outcomes.
Skills
pythonmachine learning