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Data Science & Tagging Analyst - Immediate Interviews!

Company: PAE Incorporated
Location: Bethesda
Posted on: October 10, 2021

Job Description:

Supporting the Most Exciting and Meaningful Missions in the World

       

       

Data Science & Tagging Analyst

       

PAE provides a range of Department of Defense, Intelligence Community, and Commercial analytic and operational support, risk analysis, analytic outreach, red teaming, and event support services. We pride ourselves in developing creative, customized, and flexible approaches that meet our clients’ evolving and dynamic needs.

PAE is seeking a Data Science & Tagging Analyst.  He/she shall assist the government to mine and analyze data from various databases to drive optimization and improvement of strategy and policy development Responsibilities and duties listed below are not mutually exclusive.

Responsibilities and Duties:

  • Experience analyzing data from 3rd party providers (Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.).
  • Experience visualizing/presenting data for stakeholders using (Periscope, Business Objects, etc.).
  • Demonstrate expertise managing competing priorities while maintaining a high level of attention to detail; demonstrated ability to work efficiently with senior leaders in a high profile and demanding office.
  • Outstanding analytical and critical thinking skills, including the demonstrated ability to think strategically.
  • Identify needs and requirements as well as develop recommendations and solutions.
  • Knowledge of the IC, ODNI, DOD, and the overall national security apparatus.
  • He/she shall develop and support implementation of best practices for standardizing data across the lifecycle through engineering, development, and governance.
  • He/she shall advise on range of Enterprise and IC data management matters through their application of substantive, analytical, operational, program management, and/or IC expertise. 

Required Skill and Abilities:

  • Applicable degree(s): Computer Information Systems, Computer Science, Database Administration, Data Science, Engineer, IT Management, Mathematics, or Statistics (or another quantitative field.).
  • Minimum five (5) years of experience manipulating data sets and building statistical models, and familiarity with coding knowledge and experience with several languages (C, C++, Java, JavaScript, etc.).
  • Statistical and data mining techniques (Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.).
  • Querying databases and using statistical computer languages (R, Python, etc.).
  • Using web services (Redshift, Spark, DigitalOcean, etc.).
  • Creating and using advance machine learning algorithms and statistics (regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.).
  • These five (5) years may be concurrent with requisite years of experience.
  • Proven ability to drive business results with data-based insights
  • Demonstrated expertise with developing and implementing data management strategies, processes, and technical solutions.
  • Demonstrated expertise with one of the key data management knowledge areas: data management, data quality, metadata management, data governance, data modeling and design, data storage and operations, data integration operability, document and content management, reference, and master data.
  • Outstanding oral and written communication skills with the ability to conduct independent research, filter and synthesize data, and produce clear, logical and concise recommendations to policy and decision-making data management and governance professional.
  • Outstanding interpersonal skills, including the ability to work independently and in a team or collaborative environment, to work with all levels of employees from support staff to senior leadership, and to be proactive and responsive in communicating with all stakeholders. 
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.

#APP21

       

PAE 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.

       

EEO is the Law Poster

EEO is the Law Poster Supplement

Keywords: PAE Incorporated, Bethesda , Data Science & Tagging Analyst - Immediate Interviews!, Other , Bethesda, Maryland

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