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Data Scientist / Data Engineer

Remote • Posted 3 hours ago • Updated 2 hours ago

Contract W2

Remote

Fitment

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Job Details

Skills

aws
sql
Data Scientist
REST APIs
azure
Pyrhon
CAP

Summary

Job Title: Data Scientist / Data Engineer
Location: Remote

Position Summary:

Hands-on data professional responsible for end-to-end data engineering, analytics, and model development for development sector programs. Covers data pipeline architecture, dataset preparation, dashboarding, and analytics workflow deployment.

Engagement Details:

Location: Home-based, remote. No office attendance required.
Engagement type: Independent consultant or sub-contractor under company.
Duration: Level of Effort basis per task order. Initial bench placement is for 12 months with extensions possible.
Travel: Only when a specific task order requires it. All travel pre-approved and reimbursed.

Key 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.

Required Qualifications:

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.

Preferred Certifications:

Azure Data Engineer
AWS Data Analytics Specialty
Databricks or Snowflake
CAP (Certified Analytics Professional)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10106248
Position Id: 2026-4140
Posted 3 hours ago

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