Careers

The Coverent team features dedicated, experienced professionals at the top of their field who share a passion for helping our clients solve challenging problems and seize opportunities. Our culture emphasizes teamwork, communication, and commitment to our community. Due to our talented staff and a fanatical devotion to client and customer satisfaction, our clients trust us to consistently deliver the highest quality teams and solutions.

We offer developmental and advancement opportunities, competitive salaries, and a full range of employee benefits.

Current Openings:


Data Scientist

Location: McLean, Virginia
Job Code: 447
# of Openings: 1

Description

Coverent is seeking an energetic and creative Data Scientist to join our team. The position is based in the McLean, Virginia area. While in this role, you will have the opportunity to work in an office that is a well-established element of the client. This creative, innovative, and forward-leaning office is executing leadership's mandate to break new ground in data analysis. Through data manipulation and analysis, they are building new tools that use data; these tools are bringing new insights to drive change and create new solutions to hard problems.   

Why Coverent?

Coverent is a specialized consulting services firm focused on developing innovative solutions to the most challenging problems facing our nation. We are growing quickly, but focused on maintaining our commitment to fantastic results and a fair, flexible, and fun culture:

  • Are you interested in working for a boutique firm who sees its employees as more than just a number?
  • Are you intrigued by the notion of joining a small team of talented, passionate consultants with a clear vision to help our clients achieve their missions better, smarter, faster?
  • Does a company culture that emphasizes outcomes, fairness, and flexibility sound appealing?
  • Would you like to be rewarded for your contributions, via programs like annual bonuses and company profit sharing?
  • Would you appreciate having a choice of options from top-notch benefit providers for medical and retirement plans?
  • Are you interested in a learning culture that is forward-leaning regarding training, education, and professional development?

If you answer YES to these questions, Coverent could be the employer of choice for you. 

Position Responsibilities

  • The candidate will work apply data science skills to provide new insights and build new tools and dashboards which solve hard problems.  

Required Qualifications

  • US Citizenship
  • Active TS/SCI clearance with Full-Scope Polygraph
  • Master Degree or higher in a quantitative discipline such as Statistics, Economics, Mathematics, Computer Science, Psychometrics, or Econometrics
  • Experience exhibiting problem solving skills and understanding not only how to display data but make sure the right data is displayed that is targeted at answering the questions
  • Demonstrated on-the-job experience getting data or proposing ways in which to measure or collect the data in the future
  • Experience working with and manipulating the data to answer the question at hand or develop metrics that are relevant
  • Building dashboards (and/or placemats) and supporting thinking around the substance and content of those placemats
  • Demonstrated on-the-job experience performing longitudinal studies and cohort analysis and building the datasets to enable these studies
  • Demonstrated on-the-job experience with Data Analytics skills in Oracle SQL Developer, SAS, Tableau, Python, R/R-Studio, basic javascript and familiarity with HighCharts or d3.js, and working with JSON and .csv file formats. 
  • Demonstrated on-the-job experience solving data problems, successfully and skillfully conveying process and outcomes to senior stakeholders in both written and oral formats

Desired Qualifications

  • Experience extracting key data from the client’s systems via the use of various programming languages (e.g., SQL)
  • Demonstrated on-the-job experience briefing results and associated methodologies in a manner that is easy for non-technical audience to understand
  • Demonstrated on-the-job experience with the client’s data systems




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