Southern Methodist University

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Data Scientist

at Southern Methodist University

Posted: 9/18/2018
Job Status: Full Time
Job Reference #: MEA00000031

Job Description

Salary Range:

Salary commensurate with experience and qualifications

Job Summary:

DataArts, The National Center for Arts Research (Center) at Southern Methodist University, seeks a Data Scientist focused on research. The Data Scientist reports to the Director and works closely with the Research Director and Deputy Director.

About the Position:

The Data Scientist is responsible for managing and leveraging DataArts' unique database, and conducting analyses that support DataArts' research agenda.

DataArts' multi-level data include objective financial and operating data for some 50,000 arts organizations from 2007-2018, census data for businesses and households in all US census tracts, and household-level arts patronage data for 20 million households. These data have been integrated into a spatial model of the arts and culture ecosystem. The ideal candidate will have a working knowledge of spatial statistics, stochastic frontier analysis, and high-performance computing.

Essential Functions:

  • Maintain the DataArts' database, which involves integrating regular updates to organizational data from the Cultural Data Profile, the Internal Revenue Service, and Theatre Communications Group, zip-code level business pattern data from the Census Bureau, census tract level sociodemographic and economic data from the Census Bureau, and household-level purchase data from TRG Arts and individual organizations.
  • Maintain and update the NCAR spatial model and NCAR tools. Current tools include the NCAR KIPI dashboard, the NCAR Arts Vibrancy Heat Map, and the NCAR Audience Development Tool. 
  • Respond to requests to geocode physical addresses and generate analyses and data builds for white papers and external researchers.


Education and Experience:

Master's degree is required, preferably in statistics, data science, economics, operations research or applied mathematics. Ph.D is desirable.

A minimum of three years of work experience in advanced analytic and predictive modeling techniques and/or experience applying advanced analytic techniques is required. Prior teaching experience is desirable but not required.

Knowledge, Skills and Abilities:

Candidate must demonstrate strong verbal and interpersonal communication skills, as well as the ability to establish and maintain effective working relationships with a wide range of constituencies in a diverse community. Must also demonstrate the ability to communicate effectively in writing.

Candidate must possess strong time management, organizational and planning skills. Must also possess strong project management skills.

Candidate must have professional fluency in multiple statistical languages, including SAS, Python, and R; Strong relational database skills, including SQL, are also required.

Candidates must possess a strong understanding of data analysis process, including problem specification, data exploration, data modeling, evaluation and recommendation. Must also have a strong understanding of experimentation and statistical analysis.

Knowledge of and experience with machine learning methods are essential, with demonstrated skills in: summarizing analysis results, conducting predictive analytics, machine learning algorithms, integrating and analyzing large complex databases, statistical analyses and research methodologies. Proven data visualization experience is also desirable

Physical/Environmental Demands:

  • Sit for long periods of time

Deadline to Apply:

The position is open until filled.

EEO Statement:

SMU will not discriminate in any program or activity on the basis of race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression. The Executive Director for Access and Equity/Title IX Coordinator is designated to handle inquiries regarding nondiscrimination policies and may be reached at the Perkins Administration Building, Room 204, 6425 Boaz Lane, Dallas, TX 75205, 214-768-3601,