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Strategic Operational Solutions

Senior Data Scientist

Strategic Operational Solutions Washington, District of Columbia, United States

Information Technology & Services · 51-200 employees

Yesterday
data-scientist Senior (5-10 yrs) Full-time United States
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About the role

The Senior Data Scientist will develop analytics workflows and support large-scale data analysis initiatives for federal clients. Responsibilities include data ingestion, transformation, and the creation of reusable analytical assets such as scripts and documentation.

What they look for

Python R SQL SAS Stata Data Engineering Data Analytics Data Processing Workload Optimization ETL ELT Apache Spark Databricks Data Lake Azure Analytics

Requirements

Candidates must hold a Bachelor's or Master's degree in a relevant technical field and possess at least 5 years of analytics experience. Proficiency in Python, R, SQL, SAS, and Stata is required, with experience in large data sets.

Full description

Brief Overview of Position:

Strategic Operational Solutions (STOPSO) is seeking candidates for a Data Scientist role to support a federal client where we are focused on delivering innovative operations and solutions through proven successful methods. The Senior Data Scientist supports data engineering, analytics, data processing, workload optimization, and development of reusable analytical assets supporting FTC investigations, litigation support, rulemaking, research, and economic analysis activities.

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

Minimum 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

Preferred Skills

  • Apache Spark
  • Databricks
  • Data Lake architectures
  • Azure analytics services

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