Senior Data Scientist: Large-Scale Analytics & ETL

Strategic Operational Solutions, Inc; Washington (District of Columbia); On-site; USD 120,000 - 160,000; Full time

Job summary

Strategic Operational Solutions (STOPSO) is seeking a Senior Data Scientist to support a federal client, delivering analytics workflows, data processing, and reusable analytical assets for investigations, litigation support, rulemaking, research, and economic analysis activities.

The role emphasizes data engineering, large-scale analytics, ETL/ELT processing, and creating repeatable SOPs and notebooks using Python, R, SQL, SAS, and Stata.

Qualifications

• Bachelor's or Master's degree in Cybersecurity, Information Technology, Computer Science, or related field.
• Master's degree preferred in Data Science, Statistics, Computer Science, Mathematics, Economics, or related discipline.
• Minimum 5 years of analytics experience.
• Experience working with large data sets.
• Experience using: Python, R, SQL, SAS, Stata.

Responsibilities

• Develop analytics workflows.
• Support large-scale data analysis initiatives.
• Validate analytical outputs.
• Support: Data ingestion, Data transformation, Data staging, ETL/ELT processing
• Develop: Python scripts, R modules, SQL solutions, SAS processes, Stata-based analytical support
• Create reusable: SOPs, Workflows, Notebooks, Scripts, Documentation

Skills

Python

R

SQL

SAS

Stata

Education

Bachelor's or Master's degree in Cybersecurity, Information Technology, Computer Science, or related field

Master's degree preferred in Data Science, Statistics, Computer Science, Mathematics, Economics, or related discipline

Tools

Apache Spark

Databricks

Data Lake architectures

Azure analytics services

Job description

Strategic Operational Solutions (STOPSO) is seeking a Senior Data Scientist to support a federal client, delivering analytics workflows, data processing, and reusable analytical assets for investigations, litigation support, rulemaking, research, and economic analysis activities.

The role emphasizes data engineering, large-scale analytics, ETL/ELT processing, and creating repeatable SOPs and notebooks using Python, R, SQL, SAS, and Stata.