Data Science Director establishes, plans, and administers the overall policies and goals of the data science function. Provides strategic guidance and overall direction for analytical efforts. Being a Data Science Director determines the appropriate tools, techniques, staffing and methodologies to extract data that produces meaningful results. Uses extensive knowledge and research into big data tools to guide the integration of new and existing tools into the organization's data science tech stack. Additionally, Data Science Director typically requires a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to top management. The Data Science Director manages a departmental sub-function within a broader departmental function. Creates functional strategies and specific objectives for the sub-function and develops budgets/policies/procedures to support the functional infrastructure. To be a Data Science Director typically requires 5+ years of managerial experience. Deep knowledge of the managed sub-function and solid knowledge of the overall departmental function. (Copyright 2024 Salary.com)
The WID is seeking an individual to advance the research activities of faculty members, students, and staff in a broad range of scholarly disciplines that would benefit from data science methods.
Facilitators will perform training and community engagement in data science across the UW-Madison campus. More specifically, the Facilitator will consult with researchers on campus to recommend appropriate solutions to data science problems impeding their research, where solution pathways for the researcher will consider resources on campus and beyond, including existing learning resources, data management services, computing resources, consultations and collaboration with data science and computational methods experts, identification and pursuit of funding opportunities, and/or pathways for leveraging effort from campus data science teams and associated faculty. The Facilitator will also design workshops and teach existing trainings to help researchers learn data analysis tools and automation that will make their research more scalable and reproducible.
The Facilitator will also collaborate closely with research groups on short term projects; specifically developing workflows, reviewing code, helping with project management, teaching coding and computation skills, and providing other guidance that supports the researcher's work. The successful applicant will gain a wide range of skills at this job and will have the opportunity to work with experts in a range of research areas and data-centric technologies.
Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.
For more information on diversity and inclusion on campus, please visit: Diversity and Inclusion
Required
Bachelor's Degree
Candidates with a bachelor's degree and professional experience will be considered.
Preferred
Master's Degree
A Master's degree (MS or MA) or higher in a research focused area of study is preferred.
Required:
-At least two years of experience in a data-and/or compute-intensive area is required. Academic experience does qualify.
-Strong oral and written communication skills, with attention to interpersonal relationships, and professionalism
-Ability to work independently and in a team setting to establish and maintain effective working relationships
-Demonstrate strong abilities in critical analysis and creative problem solving
-Possess a demonstrated interest and prior experience in helping others to elevate their work
-Possess basic skills with tools for data curation, analysis, and/or visualization, including scripting languages, databases, visualization software and/or platforms, use of large-scale computing systems, etc.
Preferred:
-Highly Preferred: Experience applying data science methods relevant to the social sciences or digital humanities, such as text analysis with natural language processing, network analysis, or geospatial data analysis and visualization
-Prior work as a data scientist (or similar position), whether in industry or academic research contexts
-An appreciation for a range of data-intensive research
-Experience in at least one research domain such as: humanities, social sciences, life sciences, physical sciences, or engineering
-Experience and demonstrated interest in education, outreach, mentoring, consulting, and community-building
-Contribution to a Software, Data, or Library Carpentry workshop or other data- or computation-focused training effort(s)
Full or Part Time: 50% - 100%
This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location.
Ongoing/Renewable
Minimum $60,000 ANNUAL (12 months)
Depending on Qualifications
Hiring rate will be based on the full-time equivalent rate starting at 60k and offers will be commensurate with education, skills, and experience. Employees in this position can expect to receive benefits such as generous vacation, holidays, and paid time off; competitive insurances and savings accounts; retirement benefits (https://www.wisconsin.edu/ohrwd/benefits/download/fasl.pdf).
To be considered, applications must be submitted online. Please click on the "Apply Now" button to start the application process. You will be required to upload a cover letter and CV.
Cover letters will be used as a writing sample and to determine the best qualified applicants. Your cover letter should address your qualifications as they pertain to this position and your education and/or experience as applicable.
Calvin Phomsena
phomsena@wisc.edu
608-316-4496
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.
Data Science Facilitator I(RE062)
A34-OVCR/WID/WI INST DISC
Academic Staff-Renewable
296415-AS