FAIRFAX, VIRGINIA

5/3/18

5/3/19

Description

The Data Scientist is responsible for utilizing data science and development skills to apply Machine Learning techniques to automate manual analytic processes, generate analytic models, and enable analysts to exploit IC data holdings. The Data Scientist shall establish a machine learning environment and capability and apply advanced analysis and data visualization methodologies, models, and tools to derive intelligence outcomes and impacts. 

Duties & Responsibilities: 
  • Establish machine-assisted data visualization concepts to better represent insights
  • Establish capability to examine multiple, interrelated big data sources
  • Apply innovative and big data-driven problem solving skills to analytic and operational elements of the IC 
  • Provide services related to data analysis, visualization and communication of complex quantitative concepts to non-technical audiences
  • Assist with mission data projects
  • Apply specialized experience in statistics and machine learning algorithms (how to gather, clean, and appropriately use data in models that address mission needs) as well as coding and data visualization skills
  • Provide tailored communications to innovation stakeholders in meetings, demos, and other customer engagements
  • Support analytic innovation, development, and data analytics activities to customers
  • Perform other duties as assigned

Minimum Requirements

  • Bachelor's Degree and/or 8 years of experience (years of experience can replace degree requirements)
  • Must possess an active secret clearance and the ability to obtain a TS/SCI clearance 
  • Superior problem solving and quantitative analytics skills with a demonstrated ability to extract meaning from and interpret data using a variety of tools and methods from statistics and machine learning
  • Experience with various industry-standard statistical techniques and tools
  • Expertise with Machine Learning programming languages such as, Python, R, SAS, MatLab, SQL
  • Experience working with and exploiting big data; distributed computing; predictive modeling; mathematics; statistics; machine learning; story-telling; and visualization
  • Ability to collect, clean, and mine data in a timely manner as part of a cross-functional team in an intelligence, or related, environment
  • Excellent communication and teaming skills

Desired Requirements

  • Master's Degree or PhD in Computer Science, Statistics, Applied Math or equivalent
  • Proficiency in using R, Matlab, Python Scikit-learn or other statistical modeling packages, with a focus on machine learning.
  • Experience with reservoir computing is a plus
  • Proficiency in developing production systems for processing large volumes of structured and unstructured data in Java, Python or similar technology stack
  • Excellent verbal and written communication skills
  • Strong team player, capable of working collaboratively in customer teams
  • Certification through any of the following or equivalent: 
Certified Analytics Professional (CAP) – The Cap Program
Certified Specialist in Predictive Analytics (CSPA) – The CAS Institute
SAS Academy for Data Science – SAS Institute
SAS Certified Big Data Professional/Data Scientist – SAS Institute


The successful applicant will be able to demonstrate all of the following:
  • Expertise in machine learning and statistics, with an emphasis on decision optimization
  • Expertise in Python, TensorFlow and MatLab.
  • Ability to transform and manage large data sets
  • Proven ability to apply the skills above to real-world business problems
  • Ability to evaluate model performance and tune it accordingly