Data Scientist
Application Procedure:
Job Duties
Duties and Responsibilities:
Statistical Programming and Analysis
- Gathers and analyzes data from various databases and sources, performs statistical and/or mathematical programming
- Assists in the design and implementation of statistical techniques and computer data systems including establishing coding formats for future scientific research/data collection.
- Generates statistical data for analytical purposes using a variety of scientific software packages; illustrate relationships, develop predictive models; interprets data for institutional projects.
- Model response data from exams, questionnaires, data collection/ sampling instruments, or reporting formats.
Job Qualifications
Knowledge, Skills, and Abilities:
- Self-motivated, willing and able take initiative
- Ability to work both independently and with a team
- High level of integrity, ethics, and professionalism
- Strong communication and computer skills
- Ability to clean, test, and validate messy data
- Skilled in analyzing and evaluating quantitative and qualitative data
- Advanced statistical methods (e.g. hierarchical linear modeling, structural equation modeling, factor analysis, cluster analysis, survival analysis, propensity score matching, etc.)
- Advanced data management skills
- Proficiency in statistical analysis
- Proficiency in querying data
- Proficiency in statistical software packages, relational databases, and programming languages (particularly, R, SQL, Python, Excel, SPSS, STATA)
- Advanced data management skills (e.g. data extraction, transformation, data integrity, database design and planning (e.g. table structuring, one-to-many relationships) etc.)
- Proficiency in statistical analysis (at least several types of regression) using syntax/coding, classification knowledge, and model development
- Proficiency in querying data
- Proficiency in statistical software packages, relational databases, and programming languages (particularly, R, SQL, Python)
Minimum Qualifications |
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Preferred Qualifications |
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Institution Description
The Data Scientist/Senior Research and Data Analyst analyzes data from various databases/sources, performs institutional research activities, and assesses instruction and learning. This position uses proficiency in statistical programming to create meaningful visual representations and detailed reports. The analyst uses research and statistical methodological skills, particularly related to assessment and evaluation, to design projects, track metrics, maintain databases, predict outcomes, and improve educational research by answering challenging questions. In addition, the analyst will be responsible for managing a large longitudinal dataset by combining data from multiple data sources.
Outstanding UA benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; retirement plans; access to UA recreation and cultural activities; and more! The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here. |
Benefits
Benefits Eligible | Yes - Full Benefits |
Rate of Pay | $86,870 - $112,932 |
Compensation Type | salary at 1.0 full-time equivalency (FTE) |
Grade | 11 |
Compensation Guidance | The Rate of Pay Field represents the University of Arizona’s good faith and reasonable estimate of the range of possible compensation at the time of posting. The University considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate’s work experience, education/training, key skills, and internal equity. The Grade Range Minimum, Midpoint, and Maximum Fields listed below represent a full range of career compensation growth over time in this position and grade. Each unit typically sets starting pay between minimum and midpoint upon hire. The university offers compensation growth opportunities within its career architecture. To learn more about compensation, please review our Applicant Compensation Guide and our Total Rewards Calculator. |
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