Data Scientist

3 weeks ago


Alexandria, United States GEOSPATIAL CONSULTING GROUP INTERNATIONAL LLC Full time

**Responsibilities**
- Design, develop and deliver data visualization products (including maps) to support USAID operations at all stages of the program cycle: strategic planning, program design, monitoring, and evaluation of programs.
- Collaborate with a team of interdisciplinary experts within the GeoCenter.
- Provide training and capacity building services to non-technical audiences on accessing, analyzing, and visualizing data.
- Effectively communicate analytical findings, both orally and in writing, to peers and senior leaders, through briefings, presentations, and memos.
- Self-initiate and manage multiple analytical projects in a time-sensitive environment.

As an employee of **geo**cgi, the Data Scientist will have access to a generous benefits package, in addition to a corporate culture and community of GIS geeks. Our benefits include but are not limited to:

- Competitive salaries, commensurate with experience and leading Federal Contractors in the geospatial industry.
- Opportunities for upward mobility in a dynamic fast paced environment within a small company.
- Merit-based spot and end of year bonuses.
- Safe Harbor 401(k) plan with immediate vesting.
- Flexible work hours and PTO.
- Complete Medical, Dental, and Vision coverage for individuals.
- Company paid training, certifications, and professional growth and development.

The following are** **requirements** **of the Data Scientist:

- US Citizen.
- Ability to obtain and maintain a US Government Secret Clearance.
- 6 years of experience with a Bachelor’s degree or 4 years of experience with a Master's degree in Statistics, Geography, Math, Computer Science, Economics, or another related field.
- Strong interpersonal skills and ability to work as part of a team and across diverse international cultures.
- Quantitative background and experience in data collection, cleaning, processing, and applied analysis and visualization using statistical software or programming languages (Python, R, Stata, SAS, SPSS, MATLAB, Tableau, and/or PowerBI).
- Demonstrated expertise writing organized, clear, and well-documented computer code to ensure reproducible and scalable analytical routines.
- Ability to produce compelling data visualization products with design software such as Adobe Illustrator, Photoshop, and InDesign.
- Experience translating statistical, regression, and visualization results into briefing documents or presentations for senior leadership.
- Leading and facilitating projects through concept, iterative design development, and delivery.


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