Senior Data Scientist

Supporting the Most Exciting and Meaningful Missions in the World

Senior Data Scientist

This position is an unaccompanied assignment located at Al Udeid AB, Doha, Qatar. Employee will live on the economy in Doha, Qatar and drive to Al-Udeid Air Base for daily support to the military.

Roles and responsibilities for this position include:

- Conducting statistical analysis of structured and semi-structured data sets, to include opinion research, social media-based big data, and various secondary-source indices. Analysis will include presentation of basic descriptive statistics, longitudinal analysis, and hypothesis testing (to include, but not limited to, non-parametric correlation and principal components analysis).
- Completing basic geospatial analysis with either ArcGIS or QGIS.
- Provide data visualization and quantitative analysis; manage and optimize existing databases, as well as potentially oversee vendor efforts to build new databases, as required by the customer.
- Prepare status reports, assess project issues and risks, and develop resolutions to meet productivity, quality, and client-satisfaction goals and objectives.
- Develop automated approaches leveraging artificial intelligence / machine learning (AI/ML) and natural language processing (NLP) to streamline the input of operational assessment data into the Command and Control of the Information Environment (C2IE) system.
- Review / analyze statistical data received from team members, other agencies, and combatant command (CCMD) organic assets, and support social scientists in authoring summary reports and/or presenting oral briefings for senior leadership.
- Review empirical / quantitative studies conducted by similar organizations and determine reliability, validity and other strength factors for potential use in theater.
- Contribute to methodology advancement for analyzing and extracting insights from large-scale qualitative and quantitative data sets to enhance comprehension of target audience behaviors and reactions.
- Work independently or in collaboration with social scientists, ORSAs, and other data scientists within and outside the CCMD Theater.

QUALIFICATIONS

Minimum Qualifications:

- Master’s degree in a data science-related degree (e.g., mathematics, statistics, computer science).
- Master’s degree and 7 years of relevant experience or PhD with 4 years of relevant experience.
- Work / research history demonstrating applied experience with data science approaches.
- Statistical package expertise in IBM SPSS/PASW, R, STATA or MS Excel statistics.
- Willing and able to relocate to Qatar for the duration of the position.
- Willing and able to travel within the CCMD area of responsibility as required by the program.
- Current U.S. passport.
- Current TS/SCI clearance.
- Project management experience. Must be able to meet OCONUS COVID-19 Travel Protocols for Qatar
- Must be able to Meet Qatar Visa and age Requirements
- Must have Valid US Passport with two years minimum remaining before expiration

Preferred Qualifications:

- PhD in a data science-related degree.
- Experiences with machine learning, natural language processing, writing Python script, and cloud computing strongly desired.
- Geospatial analytic package expertise (e.g., ArcGIS, QGIS, etc.)
- Joint intelligence or operational experience with U.S. Geographical Combatant Commands.
- Prior experience working the CCMD-based problem sets.
- Experience with campaign / operational assessments.

Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, religion, color, sex, gender, national origin, age, United States military veteran’s status, ancestry, sexual orientation, marital status, family structure, medical condition including genetic characteristics or information, veteran status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law.

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