Data Scientist

The Finance and Business Information Services team is seeking a Data Scientist. The purpose of this position is to lead data and reporting solution design and implementation in the Finance and Business Information Services team.

Leadership responsibility for this position consists of provides technical leadership to the data and reporting team, including mentoring team members, advising on data analytics solutions, fostering a culture of data-driven decision-making, staff hiring, motivation, and training and communication and promotion of data science best practices with customers, OneIT teams, senior management, and other teams across university boundaries.

This position is eligible for remote work and will require a work arrangement form to be completed upon the start of your employment.

Per policy, work arrangements will be reviewed annually, and must comply with the remote work program and related policies and employee travel policy when working at a remote location .

Duties to include :

• Leverage data to drive strategic decision-making and innovation within the organization.
• Developing and implementing data analytics strategies, overseeing data analysis and reporting projects, and providing leadership in data solution development.
• Collaboration with cross-functional teams to identify business needs, design data solutions, and ensure the accuracy and reliability of data.
• Stay abreast of industry trends, evaluates new tools and technologies, and promotes continuous improvement in data analytics processes.
• Strong analytical skills, strategic thinking, and the ability to communicate complex data insights to non-technical stakeholders.

For a full job description, please send an e-mail to the contact listed below.

Location : Remote or Hybrid based on selected candidate preference

Schedule : Monday through Friday, 8 : 00am-5 : 00pm

Salary : $110,000 - commensurate

About the Department :

Finance and Business Information Services provides high quality and timely services to maximize how information technology resources are used to support the mission, goals and development strategies of UI Finance and Business Departments.

We have fun and grow our careers from doing that.

The University of Iowa

The University of Iowa is one of the nation's premier public research universities, with 11 colleges offering internationally recognized programs in disciplines ranging from otolaryngology to fiction writing, printmaking to space science, hydraulic engineering to dance.

Iowa draws nearly 33,000 students from more than 100 countries and all 50 U.S. states, and employs about 29,500 faculty and staff.

Required Qualifications :

• Master's degree in a related field. An equivalent combination of education and related experience in business processes and technical services may also serve to meet this minimum requirement.
• Experience (typically 5 years) in a data science and / or report development role.
• Excellent communication skills, both orally and in writing, with management, technical and non-technical staff. Experience in conducting presentations to technical and non-technical audiences.
• Strong understanding of Data Governance, and Data Security, Privacy, and Ethics.
• Experience with database management systems (DBMS) such as SQL Server and Oracle DBMS.
• Hands-on experience with reporting tools, such as SQL Server Reporting Services, and data visualization tools, such as Power BI.
• Experience with data warehousing and ETL / ELT processes, such as SSIS, and building and maintaining data pipelines aggregating data from disparate data sources.
• Hands-on experience with fetching data from RESTful APIs for reporting applications.
• Proficiency in processing / cleaning data using programming languages such as Python, and R.
• Knowledge of big data technologies such as Hadoop, Spark, or Kafka to analyze large data sets.
• Strong understanding of statistical analysis, data mining, predictive modeling, and machine learning algorithms.
• Familiarity with cloud platforms such as AWS or Azure.
• Demonstrated ability to learn new technologies and processes.
• Professional experience working effectively with individuals from a variety of backgrounds and perspectives.

Desired Qualifications :

• Experience with data and reporting solutions in a higher educational setting
• Experience with business and financial applications.
• Experience with leadership of technical teams.
• Experience with natural language processing (NLP) techniques.
• Familiarity with deep learning frameworks like TensorFlow or PyTorch.
• Familiarity with generative AI, such as Large Language Models (LLMs).
• Industry certifications, such as Microsoft Certified Azure Data Scientist Associate and Microsoft Certified Power BI Data Analyst Associate.

Position and Application Details :

In order to be considered for an interview, applicants must upload the following documents and mark them as a "Relevant File" to the submission :

• Resume
• Cover Letter

Job openings are posted for a minimum of 14 calendar days and may be removed from posting and filled any time after the original posting period has ended.

Successful candidates will be required to self-disclose any conviction history and will be subject to a criminal background check.

Up to 5 professional references will be requested at a later step in the recruitment process.

For additional questions, please contact Brooke McMurl at [email protected] or 319-467-0719.

Additional Information

• Classification Title : Data Scientist
• Appointment Type : Professional and Scientific
• Schedule : Full-time
• Work Modality Options : On Campus, Hybrid within Iowa, Remote within Iowa

Compensation

Pay Level : 6B

Contact Information

• Organization : Finance & Operations (General)
• Contact Name : Brooke McMurl
• Contact Email : [email protected]

The University of Iowa is an equal opportunity / affirmative action employer. All qualified applicants are encouraged to apply and will receive consideration for employment free from discrimination on the basis of race, creed, color, religion, national origin, age, sex, pregnancy (including childbirth and related conditions), disability, genetic information, status as a U.

S. veteran, service in the U.S. military, sexual orientation, gender identity, or associational preferences.