Responsibilities
- From PoC to Go-Live: design, develop, and implement data, AI, and advanced analytics solutions
- Programming & Automating: Python scripts, APIs, small web apps (e.g., Flask, Streamlit, FastAPI)
- Data Engineering & Analytics: build data pipelines, connect databases, process and analyze large datasets
- Machine Learning: build pipelines, connect databases, perform analyses and detect patterns
- Visualize & Present: communicate dashboards, reports & insights clearly and effectively
- Stakeholder Management: translate technical content for business teams and coordinate closely with clients
Requirements
- Experience in or affinity for multiple data disciplines (Data Science, Engineering, Analytics, Development)
- Knowledge of Python, PySpark, SQL, Excel and eagerness to learn new tools quickly
- Experience working with large datasets and machine learning methods
- Pragmatism, initiative, and strong communication skills
Core Competencies
Demonstrates expertise in designing, developing, and implementing data, AI, and advanced analytics solutions, with strong capabilities in Python programming, data engineering, and machine learning. Proficient in stakeholder management and effective communication of insights through visualization.
