Data Scientist

University of Maryland

United States

December 14, 2021


Posting Details Position Number: 110834

Title: Data Scientist Functional Title: Data Scientist Category Status: 33-Exempt Regular Applicant Search Category: Staff University Authorized FTE: 1.000 Unit: VPUR-Financial Management Campus/College Information:

Founded in 1856, University of Maryland, College Park is the state's flagship institution. Our 1,250-acre College Park campus is just minutes away from Washington, D.C., and the nexus of the nation's legislative, executive, and judicial centers of power. This unique proximity to business and technology leaders, federal departments and agencies, and a myriad of research entities, embassies, think tanks, cultural centers, and non-profit organizations is simply unparalleled. Synergistic opportunities for our faculty and students abound and are virtually limitless in the nation's capital and surrounding areas. The University is committed to attracting and retaining outstanding and diverse faculty and staff that will enhance our stature of preeminence in our three missions of teaching, scholarship, and full engagement in our community, the state of Maryland, and in the world.

Background Checks

Offers of employment are contingent on completion of a background check. A prior criminal conviction or convictions will not automatically disqualify a finalist from employment in the position.

Vaccine Protocol

The University of Maryland has made the safety of our students, faculty and staff, and our surrounding communities a top priority. As part of that commitment, the University System of Maryland (USM) recently announced that students, faculty, and staff on USM campuses this fall, including UMD, are required to be vaccinated against COVID. As a prospective and/or a new employee at UMD, you will be required to comply with the University's vaccination protocol. Proof of full vaccination will be required before the start of employment in order to work at any University of Maryland location. Prospective or new employees may seek a medical or religious exemption to the vaccination requirement at and must have an approved exemption prior to the start of their employment. Failure to provide proof of vaccination or to obtain approval for a medical or religious exemption will result in the offer of employment being rescinded.

Position Summary/Purpose of Position:

The Business Applications unit within University Relations seeks a Data Scientist to join its team of data analysts and application developers. The Data Scientist will work to support Advancement operations for the University of Maryland, which includes development (fundraising), alumni and donor relations, gift processing, and other functions. This individual will play a key role in enabling Advancement business users to make data-informed decisions that will help the university reach its capital campaign goals.

The Data Scientist will manipulate and analyze advancement datasets to reach meaningful data driven conclusions or discoveries. Working closely with business stakeholders to understand their goals and data dependencies, the Data Scientist will identify, investigate, and analyze appropriate data. They will apply appropriate models, algorithms and/or machine learning techniques to reach desired results. Some examples include working to identify prospects who should be contacted for a fundraising opportunity, or utilizing a decision tree to identify the appropriate capacity/affinity rating for prospects. The Data Scientist will support internal data wrangling and ETL pipelines to improve the quality of Advancement data and data insights.

The Data Scientist will use descriptive analytics to identify bottlenecks or areas of improvement, and in collaboration with awesome front-end developers, narrate a visual story for relevant metrics and KPIs. They will also use online advancement data stores to benchmark against comparable higher education institutions.

Minimum Qualifications:

Education (include licenses, certifications, etc.): Bachelor's degree required.

Experience: Candidates must have at least 5 years of experience using Python for data analysis, machine learning, data wrangling and/or AI. Experience working in relational databases (SQL) and data analysis tools is also required.

Knowledge, Skills, and Abilities: The ideal candidate is someone who is curious, methodical and a critical thinker. We are looking for someone who can grow on the job by continuously learning new things, and brainstorming ideas for how to improve current internal data processes and how to utilize innovative data technologies. The successful candidate must be someone who likes to communicate via concise writing and visual presentation of ideas, and who is excited about technology in general and data intelligence specifically.

Candidates should have:

  • Working knowledge of one or more of python's data analysis libraries, such as Pandas, NumPy, SciPy, Seaborn, SciKit, etc.
  • Excellent communication skills with the ability to prepare solid presentations, facilitate meetings and summarize data findings for end users.
  • Solid understanding of statistics and machine learning models.
  • Critical and creative thinking to know what to ask, to examine assumptions, and support your conclusions with communicable/written findings.
  • Preferences:

  • Degree in computer science, mathematics or other information technology- related fields.
  • Higher education advancement domain knowledge
  • Data science certification
  • Experience with CRM in marketing/sales/Advancement systems
  • Experience in Agile work environments
  • Advancement/CRM domain knowledge
  • Working knowledge with Apache Spark and Apache Airflow
  • Working knowledge with AWS ETL/ELT services and cloud data warehousing
  • Working knowledge with data visualization tools
  • Familiarity with Atlassian productivity suite (Jira software, confluence and ITSM)
  • Additional Certifications: Additional Information:

    For best consideration, please apply by Tuesday, December 14, 2022.

    Benefits offered: The University offers a comprehensive benefits package, including 22 Days Annual Leave; 15 Days Sick Leave; 3 Days Personal Leave; 15 Paid Holidays; Tuition Remission; Health, Dental, Vision and Prescription coverage.

    Candidates must be able to provide proof of eligibility to work in the USA. No Visa sponsorship is offered for this position.

    Job Risks Not Applicable to This Position Physical Demands

    Work is performed in an office environment and requires the ability to operate standard equipment and keyboards. Sedentary work with substantial movements (motions) of the wrists, hands, and/or fingers. Ability to travel across campus for meetings.

    Posting Date: 11/23/2021 Closing Date: Open Until Filled Yes Best Consideration Date 12/14/2021 Diversity Statement:

    The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions.

    Applicant Documents

    Required Documents

  • Cover Letter
  • Resume
  • List of References (no emails sent from system)
  • Optional Documents

    Posting Specific Questions

    Required fields are indicated with an asterisk ().

  • How did you hear about this position?
  • UMD Job Site
  • Personal Referral
  • Washington Post
  • Baltimore Sun
  • Local Publication
  • Chronicle of Higher Education
  • Inside Higher Education
  • HERC
  • Hispanic Outlook
  • Diverse Jobs
  • HigherEdJobs
  • Professional Journal
  • Listserv
  • Other
  • SimplyHired
  • CareerBliss
  • Job Fairs
  • Monster.Com
  • Craigs List
  • UMD Job Fair
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