We don’t expect you to come in with all 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 combining 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.
Qualifications
Required Qualifications
Bachelor's degree in physical science, engineering, or mathematics
Demonstrated experience (minimum three years) in operations research or numerical analysis in a technical field
Two+ years of professional experience using Python for scientific programming and mathematical modeling
Excellent verbal and written communication skills
Strong analytic curiosity, attention to detail, and the desire to learn and apply new skills to projects
Ability to work well with other technical and scientific professionals in a research environment
U.S. Citizen with the ability to obtain and maintain a security clearance throughout employment
Desired Qualifications
Master’s Degree in physical science, engineering, or mathematics
Department of Defense, U.S. Navy, or U.S. Air Force experience
Active DoD Secret Clearance
Pay Range Information
At SPA, we strive to deliver a robust total compensation package that will attract and retain top talent. Elements of the compensation package include competitive base pay and variable compensation opportunities. SPA provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, etc. Please note that the salary information shown below is a general guideline only. Salaries are commensurate with experience and qualifications, as well as market and business considerations. Virginia, Pay Transparency Salary range: USD $95,000.00/Yr. - USD $115,000.00/Yr.
Everybody’s view of data science is a little different, and we are no exception. In our team, 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 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 combining 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.
Required Qualifications
Bachelor's degree in physical science, engineering, or mathematics
Demonstrated experience (minimum three years) in operations research or numerical analysis in a technical field
Two+ years of professional experience using Python for scientific programming and mathematical modeling
Excellent verbal and written communication skills
Strong analytic curiosity, attention to detail, and the desire to learn and apply new skills to projects
Ability to work well with other technical and scientific professionals in a research environment
U.S. Citizen with the ability to obtain and maintain a security clearance throughout employment
Desired Qualifications
Master’s Degree in physical science, engineering, or mathematics
Department of Defense, U.S. Navy, or U.S. Air Force experience
Active DoD Secret Clearance