The corporate culture here is one of mutual support, trust, and encouragement. Employees are actively encouraged to experiment, to explore, to develop skills old and new for the benefit of the company, the customers, and themselves. Throughout the organization, information-sharing and "hey, look at this" moments are commonplace.

Similarly, anyone who struggles with a particularly challenging problem can rely on colleagues to jump into the breach, without hesitation. This genuine camaraderie, often difficult to find in a corporate environment, helps make Evince a uniquely reassuring, uplifting, and energizing place to work. If this sounds appealing to you, read on.

It's easy to join Evince Analytics. Just be awesome.

And that's basically it. Most successful candidates follow this blueprint: achieve some level of renown; don't let it go to your head; love the discipline of data analysis and what possibilities it holds for the future; be a good teacher, student, and colleague; and of course, demonstrate a few other tangibles and intangibles as needed.

WHAT SPECIFIC POSITIONS ARE AVAILABLE NOW?

For years, Evince Analytics has been known for its commitment to providing high quality data analysis, particularly in the field of data visualization. Whether you call it business intelligence, visual analytics, or graphical storytelling, Evince has been a pioneer in using state of the art technology to deliver clear and actionable insights to public and private sector customers alike.

A few things: for some of our available positions, you’ll need to be a U.S. citizen or a legal permanent resident; and you’ll also have to have the ability to obtain a public trust or security clearance. Most of our work is performed in the Washington D.C. area, either from our home office in Herndon, Virginia or from customer sites in the region. Remote work is possible in some cases, but not all.  

Technical Data Analyst

Seeking skilled Data Analysts for an exciting program.  Located in Northern Virginia, this position provides the analyst an opportunity to design, develop, implement and collaborate on large scale data models in an effort to identify key pieces of information in response to urgent, complex mission-related questions of national importance.  The successful analyst will employ multiple large scale systems, big data platforms, and complex data models across hundreds of disparate datasets in pursuit of sound analytic conclusions.  Qualified candidates must possess a TS/SCI security clearance and must be a U.S. citizen.

You'll be doing things like:

  • Supporting Analytic Requirements

  • Data identification and Evaluation

  • Data Modeling

  • Engaging and supporting Mission Partners

  • Responding to critical time-sensitive Customer requests that range from basic to complex and which will require the ingestion of new data sources or the development of new, innovative analytical methods or technology solutions

  • Creating technical assessments and develop custom approaches in response to time-critical urgent Customer mission area needs

  • Searching a variety of classified systems for identification of new data sources that can be employed to fulfill Customers data gaps

  • Developing new approaches to apply large-scale computing technology to solve Customer problems

  • Producing written products that translate bulk data analysis into actionable intelligence

These things are required:

  • Bachelor’s degree in computer science, information systems, engineering, or another scientific or technical discipline.

  • Demonstrated practical experience developing and using computer languages (e.g. Python, R, Pig, Java, C, SQL, ECL) to perform large scale parallel processing of data , and to develop, validate, and use methodologies to support analytic requirements in Cluster Computing environments.

  • Demonstrated experience performing All-Source data analysis to perform technical targeting analytic support.

  • Strong written and verbal communication skills

These things would also be nice:

  • Graduate degree in computer science, information systems, engineering, or another scientific or technical discipline

  • Demonstrated practical experience using ECL and HPCC Platform.

  • Demonstrated experience using analytic techniques and tools performing technical targeting analytic support.

  • Demonstrated experience developing custom algorithms to support analytic requirements against massive data stores.

  • Demonstrated practical experience performing technical analysis or targeting support using massive data processing systems

Interested? Send a cover letter and resume (a link to a LinkedIn profile is great too, but don't forget the old-school resume)  to recruiting@evinceinc.com.  Your cover letter should include, well, whatever you’d like it to include; but must include specific examples of projects you’ve undertaken in the past, and how they relate to the requirements outlined here. If you'd like to include links to a public portfolio, website, blog, etc., the cover letter is a great place to do so.

Please note that for this position, you’ll need to be a U.S. citizen or a legal permanent resident; and you’ll need to possess an active security clearance. Most of our work is performed in the Washington D.C. area, either from our home office in Herndon, Virginia or from customer sites in the region. Remote work is possible in some cases, but not all. 

AND THAT'S NOT ALL 

Beyond our specifically advertised opportunities, we also have room at Evince for talented, unique individuals, irrespective of their specific skills. Contact us at recruiting@evinceinc.com and put your best foot forward. (Hint: a resume with a generic cover letter is not your best foot.) Tell us who you are, what you've done, what you want to do, why we're missing out by not having you on the payroll. Show us something we've never seen before. Make us an offer we can't refuse. Be honest, be specific, and be genuine. And, most importantly, be your awesome self.

Given the above, this should also go without saying, but: Evince Analytics, Inc. is an equal employment opportunity employer and does not discriminate against applicants or employees because of race, color, religion, national origin, sex, age, citizenship status, disability status of an otherwise qualified individual, membership or application for membership in an uniformed service, or membership in any other class protected by applicable law that does not relate to the successful performance of job duties.