IBM Consulting drives business and technology transformation globally. Asset Engineering seeks an experienced Data Scientist to develop scalable AI solutions supporting multiple clients and internal initiatives.
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Build and maintain backend services APIs and integrations
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Own modules end-to-end — development testing documentation
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Improve code quality performance and automation workflows
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Work with cross-functional teams to understand requirements and turn them into simple working solutions
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Debug production issues and close them quickly
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Review junior developers’ code and help them when needed
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Solid experience in Python programming (minimum 6 years).
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Expertise with at least one web framework: Flask Django or FastAPI.
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Experience with databases: both SQL (PostgreSQL MySQL) and NoSQL (MongoDB Redis).
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Comfortable working with asynchronous code or concurrency (multi-process / async) — if applicable.
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Experience writing unit tests integration tests; familiarity with pytest or equivalent.
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Worked on data pipelines or automated workflows (Pandas NumPy Airflow etc.).
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Proficient with version control (Git) and CI/CD pipelines.
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Good problem-solving skills and the ability to work independently.
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Strong communication — you explain your code ask questions and drive clarity.
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Experience in cloud platforms (AWS / Azure / GCP).
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Familiarity with Docker Kubernetes or microservices architecture.
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Experience with data analysis ML or working closely with data teams.
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Knowledge of async frameworks or event-driven Python systems.
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Open-source contributions or personal Python projects