Program Chair, Applied Data Science and Decision Analytics

Data ScientistData ScientistPart TimeRemote

Location

United States

Posted

12 days ago

Salary

Not specified

No structured requirement data.

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

The Graduate Professional Studies (GPS) part-time program chair serves as the subject matter expert for their program of responsibility, providing industry expertise required to ensure that the program remains current and relevant. This is a consultative role, requiring on average 4-5 hours per week, associated with a 12-month renewable contract. The term is subject to annual performance reviews, with the possibility of renewal. Duties can be performed remotely, via appropriate technologies.

  • Serve as subject matter expert for program inquiries and outreach efforts, including industry experience and subject matter expertise.
  • Assist with the selection of Program Advisory Council members.
  • Participate in biannual professional advisory council meetings.
  • Engage with and lead in program-related community-building activities such as LinkedIn groups and support program thought leadership (blogs and webinars).
  • Participate in the hiring process of new faculty for the program to ensure candidates have the necessary industry knowledge and experience.
  • Provide career guidance and mentorship for program students.

Curriculum and Operations:

  • Lead program and curricular reviews at least every 2 years to ensure course relevancy and currency, coordinating with Brandeis Online Assistant Director of Online Learning & Quality Assurance.
  • Consult regarding shifts in program/course content based on changes in the industry and current research, and provide suggestions for new course offerings.
  • Review applications for course revision and new course development projects to approve direction, topic coverage, assessments, and content alignment to course- and program-level outcomes.
  • At the end of each session, review performance summaries of faculty.
  • Meet with program faculty a minimum of once (July 1 - June 30) a year individually and once as a full program.
  • Teach a course within your program at least once a year, when needed by Brandeis Online.

Marketing:

  • Assist in program messaging and course promotion as needed.
  • Participate in program-related community-building activities such as LinkedIn groups and support program thought leadership (blogs and webinars).

Student Services & Student Support:

  • Advise students on course selection 5-10 students per academic year, providing career-specific guidance, as requested by the GPS student services team.
  • Provide general career guidance and support career services programming and events in collaboration with Student Services.
  • When subject matter expertise is required (roughly once or twice per term), consult on course waiver requests and escalated grade complaints, as communicated by the Assistant Director of Online Faculty Relations.

Admissions:

  • Serve on the admissions committee for the program and provide decisions within one week of applications being assigned.
  • Review requests for transfer credits (if applicable).
  • Respond to prospective student inquiries that require in-depth subject matter expertise, as communicated by the Brandeis Online enrollment management team.
  • Attend and co-moderate information sessions for prospective students.

Qualifications

  • Master’s degree or higher in Statistics, Data Science, Applied Mathematics, or a related field.
  • Employed in the program’s field and on the leading edge in terms of being current on the topics, issues, research, and trends as well as having established relationships with experts in the field.
  • Preference given to candidates with prior college or university teaching experience.
  • Excellent communication skills, professional demeanor, and attentiveness to timely responses.
  • Mature and consistent judgment and decision-making skills.
  • Periodic evening meetings are required, on campus or via web conference.
  • Must not currently hold the position of Program Chair at another university.

Pay Range Disclosure

The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.

Equal Opportunity Statement

Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

Job Requirements

  • Master’s degree or higher in Statistics, Data Science, Applied Mathematics, or a related field.
  • Employed in the program’s field and on the leading edge in terms of being current on the topics, issues, research, and trends as well as having established relationships with experts in the field.
  • Preference given to candidates with prior college or university teaching experience.
  • Excellent communication skills, professional demeanor, and attentiveness to timely responses.
  • Mature and consistent judgment and decision-making skills.
  • Periodic evening meetings are required, on campus or via web conference.
  • Must not currently hold the position of Program Chair at another university.
  • Pay Range Disclosure
  • The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
  • Equal Opportunity Statement
  • Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

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