Data Scientist (AMK)
Core
Design and implement advanced analytics and data integration solutions, supporting predictive modeling, forecasting, and optimization projects within regulated and public-sector environments.
Role type
Senior IC data scientist (public sector)
Builds
Predictive models, forecasting systems, and optimization solutions for mission-critical initiatives
Domain
Public sector / Government / Regulated industries
Deliverable
production ML models
Required skills
Data processing, feature selection, hyper-parameter optimization, model validation, visualization, Python (Pandas, NumPy, Scikit-Learn, XGBoost, pyspark), AWS SageMaker, SQL, production software engineering practices (TDD, Git, CI/CD), object-oriented programming
Preferred skills
Agentic AI/Generative AI (LLMs, RAG), data engineering (ingestion, transformation, pipelines), stakeholder engagement, public-sector project experience
Technologies
AWS SageMaker, Python, Pandas, NumPy, SciPy, Scikit-Learn, XGBoost, pyspark, SQL
Responsibilities
Design and develop data integration and advanced analytics solutions; Manage end-to-end analytics project lifecycles; Lead workshops to translate business needs into analytical specifications; Propose and validate data science models meeting explainability and security requirements; Participate in software development lifecycle activities; Research client business contexts and industry trends; Develop reusable project assets
Seniority
Mid-level, hands-on IC