Quantitative Research Associate - Data Modeling & Analysis

RPMGlobal; Alexandria (VA); On-site; USD 69,000 - 194,000; Full time

Job summary

The Institute for Defense Analyses (IDA) invites applications for a Research Associate in the Cost Analysis and Research Division (CARD). The role focuses on diverse analytic problems using data-driven methods and collaboration with interdisciplinary teams to deliver objective insights for sponsors.

Responsibilities include data preparation, statistical modeling, and presenting analyses. Strong communication, teamwork, and data experience are essential; U.S.

Qualifications

• Bachelor's or Master's degree inApplied Mathematics, Operations Research, Economics, Statistics, Data Science or similar field.
• Strong communications skills are essential.
• Ability to work effectively both independently and in teams.
• Experience with data collection, normalization, analysis, and visualization is desirable.
• Prior work experience is preferable.
• Programming skills with R, Python, STATA are a plus.
• Ability to obtain and maintain security clearances is mandatory.
• U.S. Citizenship is required.

Responsibilities

• Research topics independently within CARD.
• Compile, cleanse, and analyze data.
• Build and develop statistical models.
• Assist in developing and maintaining information sources.
• Attend and participate in project meetings.
• Interact with government sponsors and industrial representatives.
• Provide presentations of analyses.
• Contribute to the writing of reports and papers.

Skills

Communications

Teamwork

Data analysis

Data visualization

Independent work

Education

Bachelor's or Master's in a relevant field

Tools

R

Python

STATA

Job description

The Institute for Defense Analyses (IDA) invites applications for a Research Associate in the Cost Analysis and Research Division (CARD). The role focuses on diverse analytic problems using data-driven methods and collaboration with interdisciplinary teams to deliver objective insights for sponsors.

Responsibilities include data preparation, statistical modeling, and presenting analyses. Strong communication, teamwork, and data experience are essential; U.S.