Data Scientist / Data Engineer

Dice is seeking a hands-on data professional responsible for end-to-end data engineering, analytics, and model development for development sector programs. The role involves designing data pipelines, preparing datasets, and developing analytics models to support program monitoring and decision-making.

Responsibilities:

• Design and build data pipelines, data warehouses, and analytics platforms supporting development programs
• Prepare, clean, and transform datasets from country information systems, surveys, administrative records, and external sources
• Develop analytics models, dashboards, and reporting layers for program monitoring, evaluation, and decision support
• Build and deploy machine learning models in production environments, including MLOps practices for model monitoring and retraining
• Work with cloud platforms such as Azure, AWS, Google Cloud Platform and open-source data stacks to deliver scalable analytics workflows
• Document data flows, lineage, and governance controls for donor reporting and compliance

Requirements:

• Bachelor's degree required in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related field. Master's degree preferred
• Minimum 7 years of relevant professional experience, with 5 to 10 plus years specifically in data engineering, analytics, or model development
• Proficiency with Python, R, SQL, REST APIs, cloud platforms, and modern data pipeline architectures including dbt, Airflow, Spark, Databricks, or Microsoft Fabric
• Demonstrated experience preparing datasets, dashboards, models, or analytics workflows for production deployment
• Familiarity with health, education, or social sector data standards preferred, including DHIS2, FHIR, CSPro
• Experience working in low and middle income countries or public sector environments preferred
• Azure Data Engineer
• AWS Data Analytics Specialty
• Databricks or Snowflake
• CAP (Certified Analytics Professional)