Data Scientist - Technical Program Manager
Pittsburgh, PA 
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Posted 2 days ago
Job Description

About the role

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

The SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cyber security challenges. In this role, you will work with our customers to identify areas where advanced statistical techniques can help tackle problems, plan and develop prototype solutions, and build out final products. You'll get a chance to work with elite professionals and university faculty to build new technologies that will influence national cyber security strategy for decades to come.

You are able to

  • Travel will be to client sites and could be up to 50% of the time but can vary greatly depending upon the type of work being conducted such as classified work that must be performed onsite. We will manage travel to be optimal for the SEI but also take into consideration the needs of our employees.

  • Pass a background check and obtain and maintain a Department of Defense security clearance potentially up to the TS level.

  • Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity.

Who you are:

  • BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with eight (8) years of experience or equivalent combination of training or experience; or MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with five (5) years of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with two (2) years of experience.

  • Deep understanding of statistical modeling techniques and advanced data analytics

  • Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas, MATLAB, etc.)

  • Innovative and inquisitive with ability to imagine novel analytical solutions to problems

  • Demonstrated ability to handle multiple competing priorities at once while working with a high-performance team in a dynamic and often uncertain environment

  • Demonstrated ability to coordinate internal and external resources to execute projects and help to meet milestones and deadlines set for the team

  • Ensure that project deliverables are completed on time, within scope, and within budget

  • Ability to assist in defining project scope and objectives, involving relevant stakeholders, and ensuring feasibility of the work

  • Demonstrated ability to successfully manage relationships with customers and stakeholders

  • Commitment to building and sustaining relationships with a highly diverse team of colleagues within the SEI and CMU communities and within our customer organizations.

  • Focused ability to organize, create, and maintain comprehensive project documentation from project initialization to end of life.

Desired Experience:

  • Experience in predictive modeling, data science, and/or machine learning

  • Experience rapidly applying techniques for solution development in program management and in the application of data science to challenging problems

  • Demonstrated ability to rapidly learn new concepts and a willingness to grow into new areas of work and interest and then sharing and demonstrating that knowledge with colleagues

  • Ability to create and provide accurate, grounded, and compelling briefs using a variety of tools (e.g., PowerPoint) that make complex issues more understandable to both an uninitiated audience and one that is also highly familiar with a topic

  • Experience in cybersecurity and privacy is a plus

  • Experience supporting test and evaluation for large-scale government research programs is a plus

Why work here?

  • Join a world-class organization that has significant impact software in government.

  • Work with cutting edge technologies and experts to solve tough problems for the government and the nation.

  • Publish your research, attend or present at prestigious events, and enjoy annual professional development opportunities.

  • Get an 8% monthly contribution for your retirement plan without having to contribute to it yourself.

  • Get tuition benefits to attend classes at Carnegie Mellon University for you and your dependent children.

  • Get access to university resources, including campus fitness facilities, mindfulness programs, childcare, free transportation on the Port Authority Transit System, and more.

  • Enjoy paid parental and military leave.

  • Qualify for relocation assistance.

  • Work in the heart of Oakland, a few blocks from the Carnegie Mellon University and the University of Pittsburgh.

Location

Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff - Regular

Full time/Part time

Full time

Pay Basis

SalaryMore Information:
  • Please visit "" to learn more about becoming part of an institution inspiring innovations that change the world.

  • Click to view a listing of employee benefits

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


Carnegie Mellon University is a welcoming workplace that considers applicants for employment without regard to, and does not discriminate on the basis of, gender, race, protected veteran status, disability, or any other legally protected status.

 

Job Summary
Start Date
As soon as possible
Employment Term and Type
Regular, Full or Part Time
Required Education
Master's Degree
Required Experience
8 years
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