Data Scientist
$74K-$124K (Glassdoor est.)
Data Scientist
US Citizenship and a current TS/SCI clearance are required for the position.

Job Description: Candidate will provide support to the Department of the Army Intelligence Information Services (DAIIS) Open Source Intelligence (OSINT) Team and assist in its requirement to answer enduring/ standing requirements and ad hoc Requests for Information for publicly available information that answer worldwide intelligence requirements. The intent of this program is to provide intelligence consumers access to publicly available information on the networks on which they operate so that analysts spend less time conducting searches and building queries on the internet and more time conducting all-source intelligence analysis. Candidates will provide data management functions in the form of data governance, data architecture, data warehousing, data quality management, metadata management, data security management, data development management, data operations management, data refinement, integrated data services, data transformation services, data discovery services, data tradecraft services, advanced data analytics, and technology pursuit. Candidates will continuously identify new sources of publicly available information using multiple sources including websites, databases, and email distribution lists

Required Skills:
Ability to collect, process, analyze and report large amounts of quantitative and qualitative data, and identify trends anomalies with minimal supervision
Ability to Evaluate performance management and formulate recommendations for senior leadership with minimal supervision
Ability to explain mathematical formulas and statistical findings to non-technical users and decision makers
Extract business insights from analysis of data and communicate (orally, written, or visually) those insights to business leaders
Proficiency in Microsoft Excel (e.g Pivot Tables and Pivot Charts, Multiple criteria Lookups, Nested logical/IF formulas, etc...), and Microsoft PowerPoint
Programming experience with Python for data analysis (e.g. Pandas, NumPy, matplotlib, etc...); particularly in processing and analysis of different sources of quantitative and qualitative data
Honed presentation and product demo skills
Work cross functionally
Match analytic solutions to business needs
Input and manipulate data using a dashboard (e.g. Tableau, SharePoint, etc.) visualization system
Basic programming and scripting experience with JSON is not mandatory, but is considered a plus
Bachelor’s degree is required
The Buffalo Group is an Equal Opportunity Employer
The Buffalo Group
3.9
The Buffalo Group
