Data Scientist & AI/ML Specialist

US Defense Counterintelligence and Security Agency; Hanover (MD); On-site; USD 90,000 - 120,000; Full time

Job summary

DCSA Acquisition and Technology, NBIS is seeking a Data Scientist capable of applying statistical methods, performing data analysis, and contributing to algorithm development. The role emphasizes data mining, data management, and cross-functional software skills to support analytical objectives.

Qualified candidates will have a degree in a relevant field and experience with programming languages such as Python/SQL, plus familiarity with data warehousing and big data tools.

Qualifications

• Degree in mathematics, statistics, computer science, data science or related field at baccalaureate level.
• Combination of education and experience—courses equivalent to a major field plus additional experience.
• Transcript submission is required to avoid ineligibility.
• Qualifying experience as described must show competencies for the GS/GG-05 level, typically one year or more.

Responsibilities

• Apply foundational statistical methods and basic mathematical concepts.
• Assist with statistical programming using R/Python/SQL.
• Lead development of algorithms leveraging R, Python, or SQL/NoSQL.
• Evaluate data using data mining, management, and analytic methods.

Skills

Data Mining

Data Management

Software & Programming

Qualitative / Quantitative Analysis

Education

Bachelor's degree in Mathematics/Statistics/CS/Data Science

Tools

Cloudera Data Platform

Cloudera Data Flow / Apache Nifi

Tableau

DataWalk

Python

SQL/NoSQL

Hadoop/Spark

JIRA / Agile

Job description

DCSA Acquisition and Technology, NBIS is seeking a Data Scientist capable of applying statistical methods, performing data analysis, and contributing to algorithm development. The role emphasizes data mining, data management, and cross-functional software skills to support analytical objectives.

Qualified candidates will have a degree in a relevant field and experience with programming languages such as Python/SQL, plus familiarity with data warehousing and big data tools.