Data Scientist

Overview

We are seeking an experienced Data Scientist to convert complex structured and unstructured data into actionable insights for clients in the public and private sectors. You will analyze diverse data sources, develop robust algorithms, build production pipelines, apply machine learning and NLP techniques, and effectively communicate findings to both technical and non-technical audiences.

Key Responsibilities

• Leverage 3+ years of experience in data exploration, cleaning, analysis, visualization, or mining using Python, R, or SQL.
• Design and maintain end-to-end production data pipelines with a focus on quality, observability, monitoring, security, and governance.
• Collaborate with business stakeholders to gather requirements and deliver compelling technical presentations.
• Analyze structured and unstructured data using advanced machine learning and natural language processing methods.
• Maintain necessary Public Trust or Suitability/Fitness determinations based on client needs.
• Translate scientific/technical requirements into user stories, use cases, and platform features (2+ years experience).
• Demonstrate expertise with Microsoft Azure (Data Factory, Functions, Storage) or cloud platforms like AWS/GCP (2+ years experience).
• Deploy and support applications in cloud environments using Agile, DevOps, and DataOPs practices.