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Part-Time Faculty - Applied Data Science (2017/2018 Academic Year)

Posting Details

Posting Details

Job # 073244
Job Title Part-Time Faculty - Applied Data Science (2017/2018 Academic Year)
Location Hinds Hall
Pay Range Commensurate with Experience
FLSA Status Exempt

Day and time to be determined

Job Type Part-time
Rank PTI/Adjunct
Campus Syracuse, NY
Unionized Position Code UA
Job Description

The School of Information Studies at Syracuse University is actively seeking part-time, non-tenure track data science faculty for the 2017/2018 academic year, to teach sections of our classes in our Master’s program in Applied Data Science (, both on campus and online.

IST 687: Introduction to Data Science
The course introduces students to applied examples of data collection, processing, transformation, management, and analysis to provide students with hands-on introduction to data science experience. Students will explore key concepts related to data science, including applied statistics, information visualization, text mining and machine learning. “R”, the open source statistical analysis and visualization system, will be used throughout the course.

IST 718: Advanced Information Analytics
A broad introduction to analytical processing tools and techniques for information professionals. Students will develop a portfolio of resources demonstrations, recipes, and examples of various analytical techniques.

IST 719: Information Visualization
This course will introduce students to skills and techniques related to information visualization. In this skills-based course, students will be introduced to the R programming language, Adobe Illustrator, simple data cleaning techniques, simple design concepts and the ethics of visualizing data. The focus is on developing
static data visualizations to visually explore and communicate findings using data from a variety of sources. Conceptual themes will be presented alongside technical aspects of data visualization.

IST 722: Data Warehouse
This course provides concepts, principles, and tools for designing, implementing, and using Data Warehouses. More specifically, we introduce database constructs such as Operational Data Store (ODS), Data Warehouse, and Data Mart, as well as their components. We study the differences between Ralf Kimball’s and Bill Inmon’s approaches, roles and responsibilities in the design and implementation of a Data Warehouse, project management guidelines and techniques, requirements gathering,
dimensional modeling, Extract Transform and Load (ETL) architecture, specification and data loading, master and reference data management, integration approaches (ETL, EII, EAI), analytical reporting concepts, data governance and recent trends in the data warehouse domain.


Preferred qualifications include: a record of superior academic or professional performance; the ability to be self-directed with broadly-defined limits on assignments; excellent communication skills, both oral and written; and a demonstrated ability to interact efficiently with diverse people in a highly multidisciplinary environment.

The minimum basic qualification is an advanced degree (Master’s or Ph.D. or equivalent degree) and/or at least five years of relevant professional experience. Our Data Science faculty typically have experience in at least one of the following areas:
• R / SAS
• Python
• Hadoop / Big Data

In addition, our Data Science faculty will have research and/or teaching experience in at least one of the following areas:
• Exploring and analyzing data (applied statistics)
• Storing and retrieving data
• Visualizing and communicating data
• Applied machine learning
• Field experiments, causal inference and data analysis
• Very large scale data mining and analysis
• Applied regression and time series analysis

Job Specific Qualifications



Meet all designated class periods.

Order the appropriate books and materials in advance of the class start date.

Prepare lesson plans, projects or other student assignments.

Submit mid-semester progress reports and final grades according to the University regulations.

Grade student assignments and exams in a timely manner.

Hold regularly scheduled office hours.

Physical Requirements




Application Instructions

Please attach a resume/CV, cover letter and contact information for three professional references.

About Syracuse University

Syracuse University is a private research university of extraordinary academics, distinctive offerings and an undeniable spirit. With a gorgeous campus in the heart of New York State, a global footprint and a history that dates to 1870, we embrace diverse backgrounds and viewpoints.

Our student population includes nearly 15,000 undergraduates and 5,000 graduate students, representing all 50 U.S. states and 123 countries. Our proud commitment to veterans and their families is unrivaled in higher education. Home to 11 schools and colleges, Syracuse University blends the foundational power of the liberal arts with the intense focus of professional programs. We offer undergraduate, graduate, and professional degrees in Architecture, Arts and Sciences, Education, Engineering and Computer Science, Sport and Human Dynamics, Information Studies, Law, Management, Citizenship and Public Affairs, Public Communications, and Visual and Performing Arts.

A medium-sized city situated in the geographic center of the state, Syracuse, N.Y., is approximately a four-hour drive from New York City, Boston, Philadelphia, Toronto and Montreal. With a metropolitan population of 700,000, Syracuse is a center for cultural, recreational and artistic events, including the Everson Museum of Art, Syracuse Stage, Symphoria, Destiny Mall, multiple sporting events, and festivals including Jazz Fest and Winterfest. The outdoor enthusiast will enjoy having the Adirondack Mountains, the Finger Lakes, Lake Ontario, and the Thousands Islands Region within easy driving distance of the Syracuse campus.


Syracuse University is an equal-opportunity, affirmative-action institution. The University prohibits discrimination and harassment based on race, color, creed, religion, sex, gender, national origin, citizenship, ethnicity, marital status, age, disability, sexual orientation, gender identity and gender expression, veteran status, or any other status protected by applicable law to the extent prohibited by law. This nondiscrimination policy covers admissions, employment, and access to and treatment in University programs, services, and activities.

Commitment to Supporting and Hiring Veterans

Syracuse University has a long history of engaging veterans and the military-connected community through its educational programs, community outreach, and employment programs. After World War II, Syracuse University welcomed more than 10,000 returning veterans to our campus, and those veterans literally transformed Syracuse University into the national research institution it is today. The University’s contemporary commitment to veterans builds on this historical legacy, and extends to both class-leading initiatives focused on making an SU degree accessible and affordable to the post-9/11 generation of veterans, and also programs designed to position Syracuse University as the employer of choice for military veterans, members of the Guard and Reserve, and military family members.

Commitment to a Diverse and Inclusive Campus Community

Syracuse University maintains an inclusive learning environment in which students, faculty, administrators, staff, curriculum, social activities, governance, and all other aspects of campus life reflect a diverse, multi-cultural, and international worldview. The University community recognizes and values the many similarities and differences among individuals and groups. At Syracuse, we are committed to preparing students to understand, live among, appreciate, and work in an inherently diverse country and world made up of people with different ethnic and racial backgrounds, military backgrounds, religious beliefs, socio-economic status, cultural traditions, abilities, sexual orientations and gender identities. To do so, we commit ourselves to promoting a community that celebrates and models the principles of diversity and inclusivity.

Job Posting Date 05/25/2017
Application Deadline
Open Until Filled Yes
Priority Consideration
Job Category Faculty
Message to Applicants

Applicant Documents

Required Documents
  1. Resume/CV
  2. Cover Letter
  3. Reference List
Optional Documents

Supplemental Questions

Required fields are indicated with an asterisk (*).