Job Positions

UC Berkeley Undergraduate Advisor (Data Science) SSA2 #25211

Categories: Pacific Region 9

Department:

Data Science

Institution:

UC Berkeley

Date Posted:

Oct 22 2021 8:50PM

Close Date:

Nov 5 2021
 

Position Description

The data science advisor serves as first line resource support for undergraduates on course selection, program policies and requirements, admission to the major and minor and fulfilling requirements for graduation and monitors general advising email account and Piazza website. The advisor serves as a resource to undergraduate students on Data Science faculty, academic resources, undergraduate research opportunities, mentoring, tutoring, scholarships, internships, and career planning resources; refers students appropriately to staff, faculty and campus units for information and assistance; and provides general advice to students on academic and major requirements, alternative academic options and similar issues. They also monitor and evaluate students' completion of academic requirements and independently review and process academic requests. The advisor also uses advising tools to meet programmatic objectives and identifies student needs for programs and services, assists with new programs and projects based on emerging student needs and new research in the student development field and, under the guidance of a senior advisor, provides administrative and logistical support to meet program goals, priorities and deadlines.

Duties

70% Academic Advising:
Serves as first line resource support for undergraduates on course selection, program policies and requirements, admission to the major and minor and fulfilling requirements for graduation. Monitors general advising email account and Piazza website. Serves as a resource to undergraduate students on Data Science faculty, academic resources, undergraduate research opportunities, mentoring, tutoring, scholarships, internships, and career planning resources; refers students appropriately to staff, faculty and campus units for information and assistance. Provides general advice to students on academic and major requirements, alternative academic options and similar issues. Monitors and evaluates students' completion of academic requirements. Independently reviews and processes academic requests including major and minor declaration, graduation certification, etc.

20% Project Management:
Uses advising tools to meet programmatic objectives and identifies student needs for programs and services. Assists with new programs and projects based on emerging student needs and new research in the student development field. Under guidance of a senior advisor, provides administrative and logistical support to meet program goals, priorities and deadlines.

5% Campus Liaison:
Serves as campus resource and liaison to academic and administrative units on campus; refers students to non-academic resources as appropriate. Communicates and exchanges information with other units on campus and makes referrals to help students with their academic program (e.g., Cal Student Central, Admissions, Registrar, University Health Service, Disabled Students Program, Colleges/Schools, Transfer Center, academic departments, New Student Services, Financial Aid, Summer Sessions, Berkeley International Office, EOP, Graduate Division, etc.). Consults with other student service units regarding students experiencing academic, financial, and personal difficulties.

5% Professional Development:
Maintains professional growth and development through attendance at training sessions, seminars, conferences, cross-campus committees, and through participation on campus-wide committees and in professional organizations. Attends and gives presentations on campus and at conferences such as UC Berkeley Stay Day, UC system-wide Academic Advising Conferences, and regional and national NACADA conferences.

Application Process

https://careerspub.universityofcalifornia.edu/psp/ucb/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_APP_SCHJOB.GBL?Page=HRS_APP_JBPST&Action=U&SiteId=21&FOCUS=Applicant&JobOpeningId=25211&PostingSeq=1

Institution Information

The Division of Computing, Data Science, and Society (CDSS) is a dynamic, innovative new structure at UC Berkeley that represents a once-in-a-generation transformation. The Division brings together faculty, researchers, and students from computing, statistics, the humanities, and social and natural sciences, mirroring the cross-cutting nature of data science and redefining the research university for the digital age. Core to the Division is a commitment to examining how the digital revolution affects equity and opportunity—and building the capacity to respond to these challenges. CDSS connects the Data Science Undergraduate Studies, School of Information, Departments of Electrical Engineering and Computer Sciences and Statistics, the Berkeley Institute for Data Science, Center for Computational Biology, and the Data Science Commons. The Division is responsible for growing Berkeley’s broad-based data science education program, including classes and programs serving thousands of undergraduate students a year.

Additional Information

Position is expected to be hybrid with 2-3 days per week on campus and 2-3 days per week remote.

Contact Information

Marjorie Ensor, ensor@berkeley.edu

Qualifications:

Required Qualifications

Basic knowledge of advising and counseling techniques. Skills in judgment and decision-making, problem solving, identifying measures of system performance and the actions to improve performance. Ability in problem identification, reasoning. Ability to develop original ideas to solve problems. Proven ability to create and maintain effective working relationships with faculty, staff, and students. Ability to work as a team member. Excellent verbal and written skills. Strong organizational skills and ability to multi-task. Working knowledge of departmental, divisional, and college policies and procedures for undergraduate matters. Bachelor's degree in related area and / or equivalent experience / training.

Preferred Qualifications

Knowledge of University-specific computer application programs and knowledge of University and departmental principles and procedures involved in risk assessment and evaluating risks as to likelihood and consequences.