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Senior Data Science Platform Engineer

Application Procedure:

Job Duties

Designs, implements and supports the full lifecycle of high-performance systems, software, services and solutions in support of data science initiatives in both academic programs and research.

  • Responsible for designing and implementing the full lifecycle of data science tools and data analytics platforms in support of academic programs and research, ensuring quality, security, stability, integrity and recoverability
  • Designs, builds and maintains tools that automate common tasks that serve both technical support staff and data scientists
  • Provides tools, guidance and assistance to students and faculty to help them effectively manage their code and data
  • Diagnoses and resolves complex problems spanning multiple systems
  • Develops and maintains documentation of systems, services, processes, and procedures
  • Works closely with infrastructure engineers to plan and design infrastructure for the delivery of data analytics services, along with ensuring the security and integrity of systems, software and data
  • Works with stakeholders and security professionals to securely transfer, transform and manage data
  • Assists in supporting students, faculty and staff on the use of data analytics systems and tools as necessary
  • Mentors and provides support to staff

DEPARTMENT SPECIFIC TASKS AND RESPONSIBILITIES:

  • Responsible for designing and implementing the full lifecycle of data science tools and analytics platforms in support of analytic data warehouse
  • Data modeling
  • Responsible for providing tools, guidance, and assistance to staff to help them effectively manage their code and data
  • Develops documentation of systems, services, processes, and procedures
  • Works with stakeholders and security professionals to securely transfer, transform, and manage data
  • We are requiring seven years of IT experience and five years supporting complex software platforms in a Linux environment. The previous position required only three years of experience.

 

Job Qualifications

  • Demonstrated expertise deploying and supporting complex scientific platforms, tools, and software (examples include SAS, R, Python, Hadoop, SQL, NoSQL, Tensorflow, RStudio, and Jupyter Notebook)
  • Demonstrated expertise designing computing environments that support scientific platforms, tools, and software for researchers and data scientists
  • Demonstrated expertise administering and securing enterprise Linux servers
  • Demonstrated expertise with scripting and automation technologies
  • Able to analyze, evaluate, and implement complex IT systems, along with the ability to diagnose and resolve complex problems
  • Able to anticipate problems and proactively develop appropriate solutions
  • Able to appropriately assess and communicate risks, benefits, and alternatives
  • Maintains knowledge of current and emerging technologies, technology trends, and industry best practices for areas of responsibility
  • Able to handle multiple tasks or projects at one time meeting assigned deadlines
  • Able to interface appropriately and professionally with students, faculty, staff, and grant sponsors
  • Self-starter with excellent interpersonal, initiative, teamwork, problem solving, organization, communication (verbal and written), time management, project management, relationship building, and presentation skills, along with an ability to translate between technical and functional teams
  • Proficient with computer applications and programs associated with the position (i.e. Microsoft Office suite)
  • Strong attention to detail and follow-up skills
  • Strong customer service skills and phone and e-mail etiquette

MINIMUM EDUCATION REQUIRED:

  • Bachelor's in Computer Science, Information Systems, a science or engineering discipline or an equivalent combination of relevant education and/or experience

MINIMUM EXPERIENCE REQUIRED:

  • Seven (7) years of related IT experience demonstrating a progression of increasing responsibility including five (5) years of experience supporting complex software platforms in a Linux environment

DEPARTMENT SPECIFIC KNOWLEDGE, SKILLS, AND ABILITIES*:

  • SAS Certified Platform Administrator
  • Contributes to building data models for analytical purposes
  • Manage SAS 9.4 & Viya environments

PREFERRED QUALIFICATIONS:

  • Experience deploying and managing an enterprise SAS environment
  • Experience supporting research or other computationally intensive environments
  • Experience with data ETL, Big Data, data streams, and databases (relational and non-relational)
  • Previous experience working in higher education




PI115598572

Institution Description

A leader in innovative teaching and learning, Kennesaw State University is one of the 50 largest public institutions in the country. KSU offers more than 150 undergraduate, graduate and doctoral degrees to its more than 35,000 students. With 13 colleges on two metro Atlanta campuses, Kennesaw State is a member of the University System of Georgia and the third-largest university in the state. The university’s vibrant campus culture, diverse population, strong global ties, entrepreneurial spirit, and Division I athletics draw students from throughout the region and from 92 countries across the globe. Ranked a top choice for students by U.S. News, Kennesaw State is a Carnegie-designated doctoral research institution (R2), placing it among an elite group of only 6 percent of U.S. colleges and universities with an R1 or R2 status.

Benefits

To be discussed.
Application Due Date: 2019-12-21
Job Start Date: 2019-11-21
Salary: $92000 - $93000
City: Kennesaw
State/Province/Region: GA
Institution: Kennesaw State University
Reports To: Executive Director of Institutional Research
Staff # Reporting to Position: 1
Reports In Office: University Information Technology Services

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