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Data Scientist

Company: University of Virginia
Location: Charlottesville
Posted on: October 11, 2020

Job Description:

Job location: Charlottesville, VA Employment Type: Full-time Posted data: 2020-09-25 Req: R0018890 The Motivate Lab is looking for a Data Scientist who can begin immediately. In order to achieve our mission of improving people's lives, we are committed to rigorous evaluation and analysis of our data. The Data Scientist will contribute to various projects through ongoing data management and data analysis across multiple projects, and developing lab-wide data systems. This role is an exciting opportunity for a results-oriented, innovative professional within a fast-growing organization centered around applied work to support educational research and practice.About Motivate Lab:The mission of the Motivate Lab is to improve people's lives through rigorous motivation research. Led by two professors at the University of Virginia, Motivate Lab's annual operating budget of over $2.2M is completely supported through external grants and contracts. Our current five-year strategic plan has ambitious goals of growing the size, scope, and impact of our work in education and beyond, including sports and workforce settings. The majority of work in our organization focuses on research and development activities that develop tools to infuse learning-mindset supportive practices into educational and policy contexts, with a particular focus on supporting students from traditionally underrepresented backgrounds in higher education. We utilize our rigorous methods to design translational activities, including professional development, training, and dissemination, for both researchers and practitioners. We aim to change both the fields of practice and research through our innovative and agile methods of developing evidence-based practices.Responsibilities:Currently Motivate Lab is working on several major projects to help faculty and administrators across higher education build more motivationally-supportive learning contexts for students. Our data sets include both quantitative and qualitative data from a variety of sources, including randomized controlled trials, administrative data, student and faculty surveys, and faculty artifacts (e.g., syllabi). The Data Scientist will be responsible for management and analyses of these data.Data AnalysisDevelopment and utilization of data analysis protocols / frameworks.Programming data analysis through code primarily using R (preferably) and SPSS.Analysis of descriptive and correlational statistics by group.Analysis of validity and reliability of quantitative measurement scales.Regression modeling and other higher-level analytical techniques (e.g., hierarchical linear modeling, structural equation modeling, propensity-score matching, latent class analysis).Using RMarkdown (or other reporting technology) to create analytic reports for stakeholders and internal lab personnel.Participate in the generation and delivery of insight gleaned from analyses for multiple audiences (e.g., academics, practitioners, funders, etc.)Provide recommendations to internal and external stakeholders based on research findings.Collaborate on the creation of professional development programs and materials using data.Data ManagementCreate and manage longitudinal datasets.Build datasets by merging from various data sources, tables, files, etc.Clean datasets in preparation for analysis.Coordination of data management and analysis efforts with research coordinators and the lab's data manager(s).Creating Lab-Wide Data SystemsDirect the creation and consistent updating of data management protocols, data analysis protocols, and data translation protocols (i.e., moving from analysis to reporting and improvements in practice).Supporting the ongoing skill development of Motivate Lab undergraduates and staff.This role may require additional responsibilities, as necessary.Qualifications and Skills/Experiences:A Master's degree or terminal degree in Psychology, Public Policy, Education, Quantitative Methods, or related field is required. PhD preferred.Basic knowledge of psychological constructs, including theories of motivation and intelligence is preferred.At least 5 years of experience in a relevant, fast-paced professional setting (including graduate research labs); past data analysis experience in education is required.Strong working knowledge of statistical research software, such as R (preferred), Stata, or SPSS.Proficiency in analyzing, managing, and reporting complex quantitative and qualitative data, with specific ability to apply work in education.Effective interpersonal communication skills.Strategic thinker with advanced problem-solving skills.Excellent organizational skills with a strong understanding of systems and procedures.Fierce work ethic and sense of purpose, with the ability to work well as part of a dynamic team.Physical Demands: This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.Commitment to Justice, Diversity, Equity, and Inclusion:Motivate Lab is committed to:Recruiting talented and diverse staff.Recruitment and retention of a diverse workforce, and providing an inclusive and supportive environment in which staff and faculty are recognized as integral to the success of our work.Promoting a culture of integrity, mutual respect, excellence, collaboration and innovation.Compensation:Competitive salary is commensurate with individual's experience and skills. All full-time employees receive a comprehensive benefits package.Application:Motivate Lab is an equal opportunity employer and encourages a diverse pool of candidates to apply. For questions about the position, please contact Alison Lubin, Motivate Lab Project Associate, and for questions about the application process please contact Bethany Case, Recruiter. Applicant review will begin October 5th, and new applications will be reviewed on a rolling basis and the posting will remain open until filled. This position will consider remote applicants. This role is restricted with a 1 year term limit, continuation is dependent upon the availability of funding, satisfactory performance, and the need for the role.Please apply through Workday, and search for "Data Scientist". Complete an application online and attach:Cover letter addressing 1) previous experience with data management and analysis, 2) previous experience working in teams and training/managing others (if relevant), and 3) how you intend to bring a focus on diversity, equity, and inclusion to this role.CV/resume.Attach all materials into the resume submission field, multiple documents can be submitted into this one field. Alternatively, please combine all into one PDF. Internal applicants must apply through their UVA Workday profile by searching 'Find Jobs'. Applications missing materials will not be considered.The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician's Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.

Keywords: University of Virginia, Charlottesville , Data Scientist, Other , Charlottesville, Virginia

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