Data Analytics & Visualization Support Specialist

Albany, NY - Posted: 11/30/17 | SHARE:


The University at Albany is seeking a highly qualified candidate to fill the role of Data Analytics & Visualization Support Specialist within the division of Information Technology Services (ITS).  The Data Analytics & Visualization Support Specialist is expected to be a full-time position and will serve as a member of ITS' Academic and Research Computing Center team, which has responsibility for delivering analytical and computational IT solutions to the academic and research community.  The Data Analytics & Visualization Support Specialist will play a key role in supporting the research IT life-cycle as well as fulfilling the growing need to provide the power of sophisticated computational resources into the classroom experience. The successful candidate will be able to work independently as well as within a team environment.  Professional development is expected and supported. This position will report to the Director of the Academic and Research Computing Center.

The Data Analytics & Visualization Support Specialist is responsible for:

  • Providing subject matter expertise for developing advanced data analytics and computational technologies for a range of applications in both academic and research settings
  • Building on strengths in algorithms and software development to create computing approaches for large data sets, including scientific research and social media
  • Supporting the development of the skills and careers of the newest generation of data scientists and research scientists
  • Staying current with industry trends, developing a professional development plan, and regularly sharing knowledge with ITS stakeholders
  • Maintaining the security posture for assigned systems and applications in accordance with industry's best practices, ITS Information Security Officer and Identity & Access Management policies and procedures
  • Participating in the development and maintenance of systems standards
  • Utilizing ITS' work management software and procedures to track and document assigned work


Minimum Qualifications:

  • Bachelor's degree from a college or university accredited by the U.S. Department of Education or an internationally recognized accrediting organization in Computer Science, Mathematics, Statistics, Computer Information Systems, Management Information Systems, Quantitative Social Sciences, or related field 
  • At least three years of experience in a related role
  • Experience in statistical/mathematical programming (MATLAB, R, SAS, Stata, Scala, Python + Pandas)
  • Experience in statistics, mathematical modeling, probability and data visualization
  • Experience with basic web-delivered data visualization applications (Java, JavaScript, Shiny, Bokeh, Folium)
  • Knowledge of both relational and non-relational databases and Hadoop-based frameworks
  • A deep understanding of statistical hypothesis testing and experimental design, data visualization techniques and tools (i.e. Matplotlib, Bokeh, etc), and manipulation of large data sets
  • Demonstrated interest or experience in facilitating user based software applications that enable research or instructional activities (e.g., statistical software such as R, Python or commercial software products, and associated data visualization technologies such as GGPlot, GoogleVis, Shiny, Plotly, D3)
  • Academic or professional experience using quantitative methodologies
  • Experience teaching data-related skills and tools with application in various disciplines
  • Knowledge of public and proprietary sources of national and global data
  • Knowledge of geospatial data and technologies
  • Familiarity with fundamentals of data management, preservation, and reproducibility
  • Familiarity with textual information as structured data, e.g., XML
  • Applicants must address in their application their ability to work with a culturally diverse population.
  • Strong service orientation
  • Excellent oral, written, and interpersonal skills

Preferred Qualifications:

  • Master's degree from a college or university accredited by the U.S. Department of Education or an internationally recognized accrediting organization in a technical field (e.g., Data Science, Economics, Statistics, Computer Science, or related discipline)
  • Comfort with or willingness to learn about APIs for data retrieval
  • Proficiency with NLP python libraries such as NLTK; Hadoop or Apache Spark; R
  • Knowledge of industry trends in big data, machine learning, deep learning, and AI
  • Experience in data science or engineering teaching through a course, workshop, team training, etc.

To Apply: 

Return to job listings