What We Do

The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security engineering, and artificial intelligence engineering. The SEI works closely with defense and government organizations, industry, and academia to continually improve software-intensive systems. Our core purpose is to help organizations improve software engineering capabilities and develop or acquire the right software, defect free, within budget and on time, every time.

Job Description

This position is with the Software Engineering Measurement and Analysis (SEMA) team.

You will join a group of technical professionals and researchers impacting DoD with data-driven decision solutions for optimized program execution and radically-improved research methodology based on the latest advances in data and decision sciences, data engineering, applied statistics, causal inference. You will initiate, develop and maintain customer relationships for a growing technical portfolio of SEMA research and customer projects. You will work with a dedicated team of hard-working researchers and engineers in meeting SEI research goals and customer needs.

• identify problem areas/innovations and develop proposals for funded research that transition recent measurement advances or enable precedent-setting application and maturation of measurement technologies such as data/feature engineering, visualization/decision science and causal inference
• define, develop, and implement analysis and problem-solving approaches across a diverse problem space, capitalizing on leading innovations in measurement and decision science
• lead data acquisition, derived measures, and feature engineering through diverse data lakes, repositories and databases
• aid collaborators and customers in the identification of appropriate measurement and visualization through techniques such as Goal-Question-Indicator-Metric (GQIM)
• learn, promote, and help lead automation of various aspects of causal search and causal estimation including algorithms such as: front door, back door, instrumental variables, propensity scoring, inverse probability weighting, do-calculus and sigma-calculus

• Proficiency in R, Python, or Java
• Deep understanding of data science processes including data quality/integrity and feature engineering
• Advanced statistical, quantitative analysis, and problem-solving skills; ability to quickly learn new statistical and modeling techniques/approaches
• Ability to effectively lead small teams with diverse skills in collaborative problem-solving
• Strong research and publication skills
• Ability to effectively communicate complex concepts and information to non-expert audiences, both orally and in writing
• Proven self-learner
• Willingness to travel to various locations to support the SEI's overall mission. This includes within the SEI and CMU community, customer sites, and conferences on occasion (up to 25%).
• You will be subject to a background check and must be able to obtain and maintain a Department of Defense security clearance

• BS or higher in statistics, data science, mathematics, or a related quantitative field with ten (10) years of experience; OR MS with eight (8) years of experience OR PhD with five (5) years of experience.
• Experience in submission/acceptance of articles for peer-reviewed publication and delivery of technical presentations at IEEE, ACM or other well-regarded venues.
• Six or more (6+) years of experience in data science and programming (R, Java and/or Python) is desired.

CMU's COVID-19 Vaccination Requirements: As a condition of employment, Carnegie Mellon University requires all staff and faculty working in the United States to be fully vaccinated, including a booster when eligible, against COVID-19. Prior to commencement of employment, new hires in the United States must provide proof of vaccination or obtain an approved exemption. (Exemptions may be requested for medical reasons or for religious or strong moral or ethical conviction.) Those granted an exemption must comply with all applicable COVID-19 mitigation requirements, including use of facial coverings, daily self-assessment and weekly Tartan Testing.

Location

Job Function

Position Type

Full time/Part time

Pay Basis

• Please visit " Why Carnegie Mellon " to learn more about becoming part of an institution inspiring innovations that change the world.

• Click here to view a listing of employee benefits

• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran .

• Statement of Assurance