Data Scientist II

We are seeking a data scientist to join the Center for Limnology. The data scientist's role will be to contribute to the research agendas of Center for Limnology PIs and partners, by preparing data sets, analyzing them using reproduceable techniques, and summarizing and presenting results. The data scientist may help in mentoring students and will engage with center-wide activities at the Hasler Lab of limnology. The data scientist will work both independently and as part of a team.

• 25% Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
• 25% Independently identifies and implements appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining
• 10% Organizes and automates project steps for data preparation and analysis
• 10% Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
• 10% Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows
• 5% Travel to present results or work with collaborators
• 5% Serves as a resource to the Center for Limnology community for identifying appropriate methods and learning new data science processes
• 10% Contribute to publication of research results

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

Preferred
Master's Degree

- Demonstrate knowledge of limnology, with field work experience.
- Expert in the R programming language, use of data repositories such as GitHub, and reproduceable workflows.
- Experience working with both temporal and spatial data (GIS), creating data visualizations, and developing web applications such as Shiny Apps.
- Excellent verbal and written communication skills.

Full Time: 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 $61,388 ANNUAL (12 months)
Depending on Qualifications
The typical starting salary for this position is $61,388 - $75,000 depending on qualifications and experience. Employees in this position can expect to receive benefits such as generous vacation, holidays and paid time off; competitive insurance and saving accounts; and retirement benefits.

Please note that successful applicants are responsible for ensuring their eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without need of employer sponsorship) on or before the effective date of appointment. University sponsorship is not available for this position.

Please click on the "Apply Now" button to start the application process.

Applications must be submitted by 11:55 pm on the deadline date. To apply, please upload a cover letter and resume. Your cover letter and resume should address how your skills, knowledge, and abilities are transferrable to this role. Additional materials submitted other than your cover letter and resume will not be considered.

Selected applicants will receive an invitation to participate in virtual interviews 7-10 business days following the application deadline. Once final applicants are identified, they will be asked to provide names and contact information for at least three professional references, including a current/most recent supervisor.

At UW-Madison, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this role, we encourage you to apply.

For questions on the position, contact: Alyssa Luckey Winters, ajluckey@wisc.edu.

Alyssa Luckey Winters
ajluckey@wisc.edu
608-262-3304
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.

Data Scientist II(RE021)

A48-COL OF LETTERS & SCIENCE/CTR FOR LIMNOLOGY

Academic Staff-Renewable

309422-AS