Research Data Scientist at University of Virginia in Charlottesville, VA
The Research Data Scientist will develop and provide educational opportunities to support researchers at all proficiency levels, assessing needs, coordinating learning opportunities, and actively marketing content. This includes developing hands-on workshops on topics such as getting started with statistical software, implementing and interpreting statistical methods, creating effective data visualizations, and deploying interactive web-based dashboards and visualizations. The incumbent will also contribute to online instructional content by writing tutorials and providing access to all workshop materials. The position will be a member of the University Library's Research Data Services & Social, Natural, Engineering Sciences team providing data discovery and management services to support the full data lifecycle. The incumbent will collaborate with Library colleagues to stay abreast of current and anticipated data needs and to promote data skills throughout the Library. The Research Data Scientist will also partner with the Senior Research Data Scientist to work with multiple stakeholders across the institution and to contribute to data-related services via pan-university initiatives. Required
Qualifications:
Master's Degree and at least 4 years of related experience with data, data analysis, and research Proficiency with one statistical or computational environment (e.g., R, SPSS, Stata, Python). Experience with data wrangling, such as merging data, reshaping data, or manipulating data via the use of regular expressions. Experience performing statistical inference, such as linear models/regression, generalized linear models, or mixed-effect/multilevel models. Experience plotting and graphing data for exploratory and presentation purposes. Knowledge of open and reproducible research practices. Excellent communication skills and demonstrated ability to provide public service. Competence in public speaking and providing instruction, both formal and informal, to varying audiences and skill levels. Demonstrated commitment to fostering an environment of equity, diversity, and inclusion. Demonstrated commitment to professional development and continuing to learn and evolve as a data scientist. Preferred Qualifications Knowledge of one additional statistical or computational environment. Experience with version control (e.g., Git and GitHub). Knowledge of data technologies (e.g., Spark) and computational environments (e.g., AWS). Experience delivering statistical research support in an academic environment. Experience working with others in a team environment. Salary offered will be commensurate with experience, starting at $72,000. The selected applicant will be required to complete a background check prior to their first day of employment per university policy.
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
Qualifications:
Master's Degree and at least 4 years of related experience with data, data analysis, and research Proficiency with one statistical or computational environment (e.g., R, SPSS, Stata, Python). Experience with data wrangling, such as merging data, reshaping data, or manipulating data via the use of regular expressions. Experience performing statistical inference, such as linear models/regression, generalized linear models, or mixed-effect/multilevel models. Experience plotting and graphing data for exploratory and presentation purposes. Knowledge of open and reproducible research practices. Excellent communication skills and demonstrated ability to provide public service. Competence in public speaking and providing instruction, both formal and informal, to varying audiences and skill levels. Demonstrated commitment to fostering an environment of equity, diversity, and inclusion. Demonstrated commitment to professional development and continuing to learn and evolve as a data scientist. Preferred Qualifications Knowledge of one additional statistical or computational environment. Experience with version control (e.g., Git and GitHub). Knowledge of data technologies (e.g., Spark) and computational environments (e.g., AWS). Experience delivering statistical research support in an academic environment. Experience working with others in a team environment. Salary offered will be commensurate with experience, starting at $72,000. The selected applicant will be required to complete a background check prior to their first day of employment per university policy.
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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