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.

Today, we are actively seeking to expand our BI/Data Visualization team and an analytical contract. Evince is looking to add Tableau Developers and Data Analysts at all levels of expertise, with immediate placements available. If you’d like to become part of a growing Tableau COE, while still gaining all the benefits of working for a small, employee-focused business, we want to hear from you.

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. 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.  

TABLEAU DEVELOPER

Want to join us as a Tableau Developer? Here's the sort of background we're looking for.  If you only match some of this, but you're still interested in applying, don't be dissuaded. You are not your resume. It's possible that you might still be an ideal member of our team. (However, If you match very little of this, then yes, that should definitely dissuade you. Be reasonable.)

  • Three or more years of experience using Tableau Desktop regularly, whether as a student, professional, and/or enthusiast
  • A working familiarity with the most recent Tableau Desktop versions (10.x) and the capabilities they provide over previous versions
  • An understanding of visual best practices in the business intelligence arena (or, to put it another way, the ability to create a truly useful dashboard solution)
  • Experience using some kind of ETL tool, whether commercial software or open source (or, honestly, a hand-crafted solution that worked for whatever your need was)
  • ·A demonstrated history of successfully navigating professional environments, and communicating clearly and positively with colleagues at all levels of the organization, with varying levels of technical acumen

These things would also be nice:

  • Up-to-date Tableau Desktop certifications (Certified Professional or Qualified Associate)
  • Experience working with geospatial data, dealing with annoyingly complicated and/or large datasets, and/or performing complicated statistical analysis
  • Work experience in an environment that requires responsiveness to technical requests from other people in your organization or at a client site, ranging from troubleshooting to training, or anything in between
  • Experience using Tableau Server or Tableau Online
  • Experience running or troubleshooting Tableau Server
  • A participatory presence in the larger Tableau, BI, and/or data visualization world, as evidenced by posts in Forums, a demonstrable Twitter presence/following, a blog, membership in user groups, attendance at related meetups, etc.

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 careers@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, with links to a portfolio (on Tableau Public or on another publicly-available platform), website, blog, or gallery if possible.

Please note that 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. 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 careers@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. 

Data scientist

The data scientist prioritizes the data narrative above specific data scientist techniques. In
order to fully communicate the data narrative, the applied data scientist must fully understand the
nuances of a client question, monitor the impacts of data processing on analytic results, and
succinctly communicate the insights derived from a data set. This role is designed for risk-taking
data scientists looking to use data to answer operational questions. General skills include: statistics, programming, and communication. The applied data scientist must be able to lead projects, perform technical analysis, and provide insights directly to clients.

You'll be doing things like:

  • Solving a variety of problems though data science techniques;
  • Applying the scientific method to scope study questions, generate hypotheses, conduct experiments, and find solutions;
  • Prototyping new techniques in support of project needs;
  • Identifying processes for automation;
  • Delivering projects to support client needs.
  • Manipulating large relational databases containing structured data via MySQL and other versions of SQL
  • Pulling and manipulating data from large unstructured databases
  • Conducting text analytics on large sets of unstructured text
  • Scripting in Python
  • Creating visualizations in multiple visualizations tools including Tableau and R
  • Conducting statistical analysis using a variety to statistical tools of platforms including R
  • Building conceptual models to show problem solving methodology.
  • Building statistical models in order to identify significant variables in a process.
  • Communicating
    • Building presentations
    • Writing reports
    • Presenting findings to clients

These things are required:

  • Advanced degree in an analytical or technical field.
  • Familiarity with structured and unstructured data storage systems, such as HBASE or Cassandra
  • Experience (complete projects) using programming languages such as python and R to complete projects involving data processing combined with statistical analysis
  • Experience processing text data for text analytics (tokenization, word counting, clustering, etc.)
  • Familiarity with at least three social media forms
  • Capable of learning new programming languages and software with minimal training, i.e. familiar with online education services and technical discussion boards

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 careers@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 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. 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 careers@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.