Please Enable Cookies to Continue
Please enable cookies in your browser to experience all the personalized features of this site, including the ability to apply for a job.
Here are our current job openings. Please click on the job title for more information, and apply from that page if you are interested.
The system cannot access your location for 1 of 2 reasons:
- Permission to access your location has been denied. Please reload the page and allow the browser to access your location information.
- Your location information has yet to be received. Please wait a moment then hit [Search] again.
Click column header to sort
Major responsibilities of the opportunity include the following:- Analyzing the scientific and statistical validity of performance measures, inferences, conclusions, and solutions as the operators execute tactics developed in live and simulator environments.- Assigning valid and sound confidence levels to these performance measures and providing quantitative confidence to their conclusions.- Evaluating system, scenario, and event designs for scientific rigor and statistical validity of the approach.- Assisting the Government in formulating procurement decisions.
Everybody’s view of data science is a little different, and we are no exception. At Veracity, we view data science as a way of understanding “how the world works.” We make assumptions and models then use data of all sorts to validate or disprove them. Our customers ask tough questions about managing their multifaceted enterprises; we build and operate complex models and simulations to provide the answers that best address the decisions they face. We don’t expect you to come in with all of the subject matter expertise needed to completely understand the data analysis or to create models with the fidelity we require. We do expect you to get there quickly, though. We look for traits such as how you solve problems when you’re stuck. Do you look for creative ways to apply different techniques from tangential disciplines? Do you crack open a book and teach yourself how to do something new? Do you collaborate with your colleagues? If you take initiatives like these, you would fit in well with our team of analysts. We would love to tell you that we spend all our time developing elaborate algorithms for regression, survival, kernel weighting, etc., but honestly, we spend a lot of time wrangling data. This includes combing data from disparate data systems, manipulating formats, and cleaning—all of which are required to make the modeling happen. For this critical work we need someone who is precise, efficient, and tenacious. **This position is a pipline position and not able to hire now. We are collecting applications for future opportunities.