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