Data Scientist

Job Title: Senior Data Scientist

Location: Italy(Full-remote)

Duration: May 2025- Long-term contract

Languages: English

Daily freelance rate: 450-500 Euros/day

Job Description:

Responsibilities:

• Software Development & Maintenance: Implement, test, and document data analytics applications, data engineering, and data collection tools, primarily in Python.
• Data Science Project Contribution: Collaborate with ECAT scientific staff, handling software engineering tasks such as requirement analysis, development, testing, and documentation.
• Project Participation: Engage in update and review meetings with stakeholders and contribute to technical discussions and planning.

Educational Requirements:

• Bachelor's degree with a professional IT experience of a minimum of 13+ years

Technical Skills Required:

Python Software Development: Experience in implementing libraries, software, and services.

Software Testing Practices: Expertise in unit testing, user acceptance testing, stress testing, and negative testing to ensure software quality and reliability.

Software Deployment & DevOps:

• API definition and deployment using DevOps tools.
• CI/CD pipelines, ideally GitLab or similar environments.

Debugging & Troubleshooting:

• Complex Python debugging.
• Execution environments setup, dependency resolution, network analysis, and GPU hardware utilization.

Containerization & Orchestration: Experience with Docker, Kubernetes, or equivalent for scalable data science application deployment.

Machine Learning & Data Science:

• Commitment to staying updated on the latest technologies and libraries.
• Experience with data pipelines (ingestion, transformation, storage).

Technical Documentation:

Ability to write clear and concise technical documentation in English (C1 level) for users and developers.

Specific Expertise Required:

• Data Engineering & Pipeline Development: Robust data ingestion, transformation, and storage solutions.
• Automated Software Testing: Expertise in defining and automating regression testing, negative testing, and stress testing.

Certifications & Standards:

• Beneficial Certifications: Any training or certification in data science and machine learning is a plus.