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Solano Community College

Data Science Instructor (PT)

Solano Community College, Fairfield, California, United States, 94533


Salary:

$75.62 - $91.75 Hourly

Location :

Fairfield, CA

Job Type:

Adjunct Faculty

Job Number:

ADJ-DATA SCI-24

Department:

School of Mathematics and Sciences

Opening Date:

08/19/2024

Closing Date:

6/30/2025 11:59 PM Pacific

Description

Solano Community College (SCC), a comprehensive community college located in Solano County, has an opening for a part-time Data Engineering Instructor.

Set in the tranquil valley of Solano County, an area rich with agriculture, Native American history and wine production, Solano Community College is ideally located along the I-80 corridor between San Francisco and Sacramento within minutes of the Napa/Sonoma Valley. In addition to the campus in Fairfield, the College has centers in Vallejo and Vacaville, as well as a state-of-the-art School of Aeronautics at the Nut Tree Airport. The College also offers additional courses at Travis Air Force Base and two correctional facilities.

Our science facilities are set to bring our students success for many decades to come. Our highly-skilled faculty guide students to transfer to many prestigious private universities, as well as both University of California and California State University Campuses. We pride ourselves on our high academic standards.

For more information, please visit us at .

JOB DESCRIPTION:

Solano Community College is seeking a pool of qualified applicants for possible temporary part-time teaching assignments in Data Science. In general, we may have a need for adjunct instructors during any semester including summer. The start months are August, January, and June in each year. These positions are filled on an as-needed basis and are on-going recruitments. Assignments may include day, evening, and weekend courses. The district may cancel classes or change instructors as enrollment needs are determined.

We are actively looking for the following specialties:

Statistical Programming in R Machine Learning with Python Deep Learning with Python

Paid office hours are available to adjunct faculty in fall and spring semesters who teach a 40% assignment or more.

In your cover letter, please address any specific areas of expertise.

Responsibilities

Teaching duties include:

ENGR 014: Statistical Programming in R for Scientists and Engineers. Lecture and lab assignments will be expected.

ENGR 010: Machine Learning with Python for Scientists and Engineers. Lecture and lab assignments will be expected.

ENGR 011: Deep Learning with Python for Scientists and Engineers. Lecture and lab assignments will be expected.

Provide instruction in accordance with established course outlines and expectations; create and follow a course syllabus; inform students about course requirements; prepare and grade assignments and examinations in a timely manner; meet administrative timelines and submit completed and required documents and reports; maintain required student attendance and scholastic records; and perform assessment of student learning outcomes.

Teaching assignments may include evening hours and off-campus instruction, in accordance with collage policies. Minimum Qualifications

Master's in any field of engineering

OR

Bachelor's in any field of engineering AND Master's in mathematics, physics, computer science, chemistry, or geology

OR

Master's in computer science or computer engineering

OR Bachelor's in either of the above AND Master's in mathematics, cybernetics, business administration, accounting or engineering

OR

Bachelor's in engineering AND Master's in cybernetics, engineering, mathematics, or business administration

OR

Bachelor's in mathematics AND Master's in cybernetics, engineering, mathematics, or business administration

OR

Bachelor's degree in any of the above AND master's degree in information science, computer information systems, or information systems

OR

the equivalent

ADDITIONAL QUALIFICATIONS: Experience in teaching and using the statistical language "R" in data science, as well as a working knowledge of Machine Learning and Deep Learning in the Python language.

Knowledge, Skills and Abilities

The successful candidate is a broadly trained individual who possesses both depth and breadth of knowledge in major areas of computer and/or data science; has an approachable personality; uses multiple teaching methods that include critical thinking and problem-solving strategies; and adheres to college academic requirements and standards, especially laboratory safety.

The successful candidate must encourage learning; be sensitive to students from diverse cultural, ethnic, and socioeconomic backgrounds, including students with disabilities; take initiative in co-curricular activities, special events, and department/school meetings and projects; and participate in professional growth activities, including the governance of the College. Finally, the successful applicant must be able to lift and carry materials weighing up to 40 pounds.

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