Data Scientist
Skills
Agile MethodologiesMicrosoft AzureSQLAmazon Web ServicesData AnalyticsData CleaningData Science
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 3+ years of experience in data science analytics or applied machine learning
- Proficiency in Python including pandas scikit-learn and NumPy
- Experience with structured and unstructured data including cleaning and feature engineering
- Working knowledge of SQL relational databases and ETL concepts
- Strong understanding of predictive modeling and statistical methods
- Ability to handle sensitive data in a secure compliant manner
- Strong written and verbal communication skills
- Familiarity with Agile or iterative development methodologies
Nice to have
- customer centric
- collaborative
- curious
- innovative
- mission driven
Day to day
- Work on high-impact data science projects that improve public service delivery and operational transparency.
- Build and enhance predictive models and intelligent data products using structured and unstructured datasets.
- Collaborate with policy engineering and operations teams to deploy secure compliant analytics solutions and support Agile delivery.