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Data Scientist - Charlottesville, United States - Kuraray America , Inc.
Description
The Center for the Advanced Study of Teaching and Learning (CASTL) in the School of Education and Human Development (EHD) seeks to hire a Data Scientist to join the Virginia Connects for Kids (VAConnects) team.
VAConnects is a coordinated and integrated data system shared between state data collection initiatives (Virgina Language & Literacy Screening System, Virgina Kindergarten Readiness Program, LinkB5).
The incumbent will provide sophisticated data management and analysis to support faculty, staff and students engaged in research-practice-policy partnerships with state agencies and educational organizations across the Commonwealth of Virginia.
Faculty at EHD have developed a set of partnership initiatives related to statewide early childhood, K-12, and higher education.This Data Scientist will lead the development and ongoing use of cross-initiative analytic datasets and data products, internal procedures for data governance and data sharing, and research access and publication processes.
This role and project provide an exciting opportunity to create a novel solution by bringing together several state initiatives with proven records of collecting data to shape public policy in education.
It will contribute to our understanding of how early experiences can shape children's developmental outcomes.This will be a fully remote position
Role and Responsibilities:
Manage internal and external data teams in the creation of systems to create and house cross-initiative datasets and products in preparation for analysis and dissemination
Develop and implement data governance systems including documenting processes for data collection, data dictionaries, data access, and other documentation for cross-initiative datasets
Lead the development and ongoing use of cross-initiative analytic datasets and data products
Design and implement internal procedures for data requests, sharing and utilization of data to facilitate research across projects
Track data use for research purposes to reduce redundancy
Manage and develop new RUDA agreements as needed, and consult to ensure consistency across existing and new initiatives
Develop protocol for obtaining, maintaining, and tracking IRB protocols to conduct research
Coordinate with faculty and data specialists who are involved with the core function of data integration and data analysis
Required Skills:
Master's degree
3 years of relevant experience
Preferred Skills
Significant preference will be given to those candidates who meet some or all preferred qualifications.
Candidates are strongly encouraged to submit a cover letter detailing how their experience and qualifications align with the following:
At least 4 years of relevant post-degree experience (e.g., database management, data analysis, data documentation).
Experience working in Azure cloud environments
Experience working with developers to maintain and improve data storage solutions (both on-premises and Azure instances)
Ability to ingest data into SQL or NoSQL databases
Ability to perform data transformations such as aggregations, joins, or data cleaning
Experience drafting data-sharing agreements
Experience working with education data
Excellent communication skills
Strong collaboration skills
Ability to work with multiple PI's and members of their teams
Ability to manage multiple tasks with accelerated deadlines
Demonstrated ability to present complex data across a wide range of stakeholders
Compensation Information
Salary $94, ,000 commensurate with education and experience, includes UVA benefits.
Application Instructions
Please apply through Workday , and search for R Complete an application online with the following documents:
CV or Resume
Cover letter, optional but preferred
Upload all materials into the resume submission field. Multiple documents can be submitted into this one field. Alternatively, merge all documents into one PDF for submission. Applications that do not contain all required documents will not receive full consideration. Internal applicants must apply through their UVA Workday profile by searching 'Find Jobs.'
As part of the application process, applicants may be asked to describe how intend to advance the University's mission in their work.
The position will remain open until filled. This is an Exempt level, benefited position. This positionwill not
sponsor applicants for work visas. This restricted position is a 12-month appointment, and continuation is dependent upon project need, availability of funding, and performance. The University will perform background checks on all new hires prior to employment.
For additional information about the position, please contact Jessica Fake, Senior IT Project Manager, at For questions about the application process, please contact Bill Crane ).
In alignment with President Ryan's UVA strategic plan, CASTL is committed to:
Recruiting talented and diverse doctoral students, post-doctoral fellows, faculty, and 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; and
Promoting a culture of integrity, mutual respect, excellence, collaboration, and innovation
MINIMUM REQUIREMENTS Education:
Master's
Degree Experience:
Three years of relevant experience
Licensure:
None 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.
The University of Virginia, i
ncluding 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.
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