Mission Data Analyst- TS/SCI CI POLY with Security Clearance

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Job description

Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk. Your Role and Responsibilities
We are seeking an experienced data analyst capable of leading and supporting studies assessing the mission performance of Intelligence Community (IC) elements tasked with countering threats of weapons of mass destruction (WMD) proliferation. The National Counterproliferation Center (NCPC) is the mission manager for the Counterproliferation (CP) WMD mission, developing and coordinating strategy for the U.S. IC CP program, assessing performance against that strategy, and implementing key initiatives to advance the CP mission. The Data Analyst will be part of a team of IBM consultants and will provide full-time, on-site direct support to government personnel who require analytics expertise. Duties include:
Supporting and advancing the team's existing efforts to analyze mission data in support of NCPC leadership decision making
Identifying new opportunities to integrate data analytic techniques (e.g., machine learning, statistical analysis) into the team's CP mission assessments
Gathering, analyzing, and visualizing CP mission data
Supporting NCPC leaders in understanding complex CP/WMD issuesPosition is located in McLean, VA. Required Technical and Professional Expertise US Citizen with active TS/SCI and CI Poly Experience in R and/or Python 2+ years of IC experience, including a demonstrated familiarity with and working knowledge of intelligence community entities, missions, functions, processes, and data 2+ years of experience in data analytics, to include experience in the following: Data acquisition, processing, storage, and retrieval; Data analysis and visualization; Evaluating and continuously improving machine learning methods; Communicating key findings to senior executives in the form of high-quality written deliverables and oral briefings
Advanced skills in Microsoft Excel, to include using formulas, pivot tables, and charts to clean, manipulate, and portray data Experience with Microsoft PowerPoint Demonstrated ability to work in a collaborative, team environment
Demonstrated ability to summarize and present complex technical issues in written and graphical manner for a non-technical audience
Demonstrated ability to work effectively under time constraints and potentially changing priorities, while maintaining a high level of attention to detail
BA/BS, preferably in Data Science, Mathematics, Engineering, or a related area of study Preferred Technical and Professional Expertise MS in a Data Science-related field
Experience running AI/ML algorithms against large datasets
Full-scope Polygraph
Experience supporting the DNI Experience using Databricks or other cloud based analytic environments

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