The Data Scientist, D&T will be part of a multidisciplinary team responsible for designing and developing innovative data-driven analytical solutions
Job Summary
The Data Scientist, D&T will be part of a multidisciplinary team responsible for designing and developing innovative data-driven analytical solutions.
Lead end-to-end model/agent lifecycles: from problem definition, data exploration, feature engineering, and model/agent design to deployment, monitoring, and continuous improvement.
Create intuitive dashboards, reports, and data visualizations (e.g., Power BI, Fabric) to communicate insights to technical and non-technical stakeholders.
Matching Summary
The Data Scientist, D&T will be part of a multidisciplinary team responsible for designing and developing innovative data-driven analytical solutions.
Skills & Requirements
Must-have
Python, SQL, prompt engineering
Computer Vision libraries and frameworks
Generative AI and LLMs
ML & AI model evaluation
ETL pipelines and feature engineering
Statistics: regression, hypothesis testing
Cloud platforms (Azure preferred)
Nice-to-have
Agentic frameworks like lanGraph, AutoGen
Global and virtual settings collaboration
AI governance and ethical standards
Key Requirements
3 - 6 years of relevant experience
Bachelor's or master's degree in computer science, Mathematics, Statistics, Data Science, or related quantitative field.