Senior Data Scientist- Team Lead (INSCOM AIEGIS

Company: Celestar
Location: Charlottesville
Posted on: February 25, 2021

Job Description:

Senior Data Scientist- Team Lead (INSCOM AIEGIS) Minimum Education: Master's Degree Clearance Level: Top Secret - SCI ID: 3432 Location: Virginia, Charlottesville Description The Celestar Corporation has an--opportunity to identify a--Lead Sr. Data Scientist--who will be seated at NGIC-Charlottesville, VA, supporting the United States Army Intelligence and Security Command (INSCOM) to provide the Army Intelligence Enterprise Global Information Services (AIEGIS) Data Science Support. This position will support INSCOM HQ and affiliated units both in the Continental United States (CONUS) and Outside the Continental United States (OCONUS). If interested and qualified, we welcome you to apply for this challenging opportunity. CLEARANCE REQUIREMENT: Current Top Secret Level Clearance with SCI Eligibility-- OVERVIEW Army Intelligence is modernizing and transforming to support Multi-Domain Operations (MDO) objectives required for large-scale combat operations (LSCO) to enable commanders to see farther, understand sooner, and share wider than ever before. Our team will provide support for the digital strategy to consolidate separate staff-managed digital services under an Army Intelligence Enterprise (AIE) service delivery activity. As necessary, we administer products and services required by AIEGIS to provide value for the Army Intelligence mission by applying data science approaches to intelligence problems to support commander decisions. RESPONSIBILITIES

• Continual interaction with the Primary Contracting Officer's Representative (PCOR) and any appointed Contracting Officer's Representatives (COR), or Technical Representatives (TR) to present interim results, discuss concerns, and ensure compliance with all terms and conditions of the contract/task order
• Responsible for the management, monitoring, and communication of task progress against acceptable quality levels and verifying that work is complete
• Responsible for management, utilization, control, and reallocation of available resources to complete tasks in accordance with scheduled milestones.
• Perform quality checks and ensure all tasks are staffed appropriately
• Oversee all aspects of the delivery of tasks in accordance with the established instructional standards set forth in this SOW, and the Contractor's Quality Control (QC) Plan
• Ensures the work performed on the contract meets required standards QUALIFICATION REQUIREMENTS
  • MS in Data Science, Statistics, Applied Math, or related field, with at least 12 years of experience as member of data science team with at least a portion of the experience within the last 2 years leading data science projects
  • OR, Bachelor's degree related to the labor category and an additional 5 years of related senior experience, for a total of 17 years, as a substitute to the Master's degree
  • Languages, Tools, and Techniques Demonstrated proficiency with R or Python, and SQL to manipulate data and draw insights from large and small data sets
  • Documented proficiency in a variety of supervised and unsupervised machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
  • Documented proficiency in advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Documented proficiency with common data science libraries
  • Demonstrated proficiency visualizing/presenting data for stakeholders
  • Documented proficiency with MS Office tools including Excel, PowerPoint, and Word
  • Demonstrated proficiency with Amazon Web Services (AWS), in particular products related to: analytics, compute, database, developer tools, and machine learning
  • Skilled data wrangler
  • Experience with database solutions including SQL, NoSQL (e.g. MongoDB) and graph (e.g. Neo4j)
  • Experience with data visualization tools, such as D3.js, ggplot, Bokeh, etc.
  • Capability to recognize when Data Science can add value to an intelligence problem, and when it cannot.
  • Ability to translate an intelligence problem into a Data Science problem, and to work with the Intelligence Analysts and Analyst Control Element (ACE) Chief to refine understanding of the problem
  • Comfortable working in a dynamic team environment with several ongoing concurrent projects; able to multitask, prioritize, and manage time effectively
  • Excellent written and verbal communication skills; good Interpersonal skills and communication with all levels of leadership
  • A drive to learn and master new technologies and techniques; desire to maintain currency on latest industry trends including completing additional training; able to articulate trends and potential clearly and confidently
  • Creative problem solver who thrives when presented with a challenge; able to analyze problems and strategize for better solutions; strong problem solving skills with an emphasis on production for re-use
  • Goal-oriented, encouraging to team and staff; comfortable as a team-player, leader and mentor ADDITIONAL DESIRED QUALIFICATIONS
    • MS in Data Science, Statistics, Applied Math, or related field. Two years leading data science projects is desired
    • Five years intelligence analysis experience is desired (MOS 35/350 series or other DoD/IC equivalent) Come onboard with a company that Values its Employees! Celestar, a Veteran Owned Company, is Very Competitive with Salaries and Benefits. As an example, we offer Company Paid Benefits that include Employee and Family Dental Insurance, Employee Health Insurance, Life Insurance and Short-Term Disability Insurance. We also offer a 401k retirement company match, paid Holidays and Personal Time Off. Celestar Corporation is equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, protected veteran status, disability status, gender identity or national origin. __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ Minimum physical demands for on task positions: Employee needs to be able to sit at a workstation for extended periods; use hand(s) to handle or feel objects, tools, or controls; reach with hands and arms; talk and hear. Most positions require ability to work on desktop or laptop computer for extended periods of time reading, reviewing/analyzing information, and providing recommendations, summaries and/or reports in written format. Must be able to effectively communicate with others verbally and in writing. Employee may be required to occasionally lift and/or move moderate amounts of weight, typically less than 20 pounds. Regular and predictable attendance is essential.
      Team Members on Task (CONUS only, minimal or no job-related travel):
      --- Work Environment: The noise level in the work environment is usually moderate.
      --- Office Type Environment with Temperature Control. May be exposed to chemicals related to office equipment. The noise level in the work environment is usually moderate. General office environment.
      Team Members on task (CONUS and OCONUS assignments, some travel):
      --- Specific vision abilities required by the job may include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.
      --- Team Members deployed to a combat zone must be physically able to live in austere conditions during off duty time that may include extremes in temperature, noise, and must not have any medical conditions that require access to uninterrupted power sources.
      --- Team Members deployed to a combat zone will be subject to hazardous conditions which may require them to wear a kevlar helmet, individual body armor and/or wear a gas mask for extended periods of time. PAY TRANSPARENCY POLICY STATEMENT
      The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. Celestar is an Equal Employment Opportunity Affirmative Action Employer that is committed to providing equal opportunity for all applicants or employees on the basis of their race, color, sex, sexual orientation, gender identity, national origin, age, religion, veteran status, disability, or any other characteristic protected by law. If you should have difficulty accessing our online application, please call us during normal working hours for immediate assistance @ (813)-627-9069

Keywords: Celestar, Fishers , Senior Data Scientist- Team Lead (INSCOM AIEGIS, Other , Charlottesville, Indiana