Data Scientist II

Title: Data Scientist II

Location: Madison United States

Category: Research

Employment Type: Partially Remote

Employment Type: Staff-Full Time

Job Description:

Job Summary:

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.

Responsibilities:

Contributes to a research agenda set by a lead researcher by preparing data sets, analyzing them using data science techniques, and presenting the results. May work independently or 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

Institutional Statement on Diversity:

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

Education:

Preferred

Master's Degree

Qualifications:

• 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.

Work Type:

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.

Appointment Type, Duration:

Ongoing/Renewable

Salary:

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.

Additional Information:

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.

Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence through diversity and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, click here

If you need to request an accommodation because of a disability, you can find information about how to make a request at the following website: https://employeedisabilities.wisc.edu/disability-accommodation-information-for-applicants/

Employment may require a criminal background check. It may also require you and your references to answer questions regarding sexual violence and sexual harassment.

The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).

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