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Part Time Data Scientist Machine Learning Jobs in Fresno, CA

Adjunct Pool - Chemistry

Fresno, CA · On-site

$28.82/hr

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School of Arts and Sciences Opening Date: 09/22/2025 Position Summary Department: School of Arts ... Experience in using the Canvas learning management system. Environmental Conditions: * Indoors in a ...

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Part Time Data Scientist Machine Learning information

See Fresno, CA salary details

$37.2K

$121.9K

$195.1K

How much do part time data scientist machine learning jobs pay per year?

As of Aug 17, 2026, the average yearly pay for part time data scientist machine learning in Fresno, CA is $121,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $135,000.00 per year, depending on experience, location, and employer.

Is it possible to work part-time as a data scientist?

Yes, it is possible to work part-time as a data scientist. Many companies offer flexible schedules or project-based roles that allow data scientists to work fewer hours, especially for freelance or consulting positions. However, full-time roles are more common, and part-time opportunities may require strong self-management and relevant skills in machine learning, programming, and data analysis.

How do part time data scientists specializing in machine learning typically collaborate with full-time teams and stakeholders?

Part-time data scientists in machine learning roles often work closely with full-time team members through regular meetings, collaborative project management tools, and clear documentation. They may be responsible for specific components of a project, such as data preprocessing, model development, or evaluation, and are expected to provide frequent updates and integrate their work with the broader team’s efforts. Effective communication and proactive time management are key, as part-time professionals usually need to balance their limited hours with project milestones and cross-functional collaboration. This structure allows part-time data scientists to contribute significant value while maintaining flexibility.

What is the difference between Part Time Data Scientist Machine Learning vs Part Time Data Analyst?

AspectPart Time Data Scientist Machine LearningPart Time Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; knowledge of machine learning algorithmsDegree in Statistics, Mathematics, or related field; proficiency in data visualization and basic analytics
Work EnvironmentFocus on developing predictive models, machine learning algorithms, and advanced analyticsData cleaning, reporting, and descriptive analysis of datasets
Employer & Industry UsageTech companies, finance, healthcare, and industries leveraging AI and predictive analyticsRetail, marketing, finance, and other sectors requiring data reporting and insights

Part Time Data Scientist Machine Learning roles focus on building predictive models and applying machine learning techniques, requiring specialized skills and advanced knowledge. In contrast, Part Time Data Analysts primarily handle data cleaning, reporting, and descriptive analysis. Both roles are essential but differ in complexity and technical depth.

What are the key skills and qualifications needed to thrive as a part time data scientist machine learning?

To thrive as a Part Time Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch, as well as experience with data visualization tools and cloud platforms, is highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help you translate complex data insights for stakeholders and collaborate within teams. These competencies ensure you can develop accurate models, deliver actionable results efficiently, and adapt to the dynamic needs of part-time project work.

What does a part time data scientist specializing in machine learning do?

A part time data scientist with a focus on machine learning uses statistical methods and algorithms to analyze data and build predictive models, typically on a flexible or reduced schedule. They work with datasets to extract insights, clean and prepare data, train machine learning models, and help organizations make data-driven decisions. Their responsibilities may include collaborating with teams, presenting findings, and deploying models, but on a part-time basis, allowing for work-life balance or the pursuit of additional projects. This role is ideal for those seeking to contribute their expertise without committing to a full-time position.

What cities near Fresno, CA are hiring for Part Time Data Scientist Machine Learning jobs?

Cities near Fresno, CA with the most Part Time Data Scientist Machine Learning job openings:

Animal Science Instructor (Part-Time Faculty Pool) Madera Community College

State Center Community College District

Fresno, CA • On-site

Part-time

Re-posted 28 days ago


State Center Community College District rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

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Job description

Posting Details
Announcement Information
Posting Number
Title
Animal Science Instructor (Part-Time Faculty Pool) Madera Community College
Campus Location
Madera Community College
Start Date
Essential Functions of Position
At Madera Community College we value the ability to serve students from a broad range of cultural heritages, socioeconomic backgrounds, genders, abilities and orientations. We prioritize applicants who demonstrate they understand the benefits a diverse student population brings to a community college. The successful candidate will be an equity-minded leader committed to student success achieved through collaboration with faculty, classified staff, administration, students and community partners who are also dedicated to closing equity gaps.
An equity-minded individual is a person who:
  1. Understands the importance of holding ourselves accountable as educators for closing equity gaps and engaging in equitable practices;
  2. Reframes inequities as a problem of practice and views the elimination of inequities as an individual and collective responsibility;
  3. Encourages positive race-consciousness and embraces human difference;
  4. Supports institutional practices that both develop and sustain culturally responsive teaching and learning environments; and
  5. Strategically builds support for and participation in equity-related initiatives across both our internal and external communities.

Madera Community College seeks leaders who value placing the student at the center of everything we do, mentorship and working in a collegial, collaborative environment. Leaders should be open and willing to participate in culturally relevant professional development that will help them prepare for the population of students who attend Madera Community College.
The ideal candidate will share Madera Community College's commitment to educating its racially and socioeconomically diverse student population. For the 2021-2022 academic year, we enrolled over 8,500 students in which 67% identify as Latinx, 9% as Asian/Pacific Islander, 3% as Black/African American, 17% as White, 1% as American Indian/Alaska Native, and 3% as multiracial. Madera Community College is a Hispanic-Serving Institution, reflecting the great responsibility that the College has to the educational attainment and economic well-being of the surrounding community. The successful candidate will join a college dedicated to the students it serves.
Providing instruction in Animal Science on the Madera Community College campus and/or at off-site community campus locations, the instructor will be responsible for:
  • Teaching a part-time schedule of Animal Science courses as assigned;
  • Using a variety of pedagogies and integrating a wide range of instructional delivery systems including innovative and creative uses of technology for face-to-face, on-line, and/or hybrid formats;
  • Communicating effectively with students, faculty and staff;
  • Using effective teaching methods appropriate to the subject matter, adherence to institutionally approved curriculum course outlines of record;
  • Evaluating student progress through tests and examinations, written assignments, oral responses, etc. in keeping with course objectives;
  • Providing course syllabi to students;
  • Maintaining classroom records in accordance with District Policy;
  • Turning in all required student grading and evaluation reports in a timely manner;
  • Teaching assignments in a variety of instructional settings and times, including classes as needed;
  • Otherwise fulfilling all of the duties and responsibilities of instructors as required by Administrative Regulation 7122; and
  • Other duties as assigned.

Minimum Qualifications
All candidates must have evidence of responsiveness to and understanding of the diverse academic, socioeconomic, cultural, disability, gender identity, sexual orientation, and ethnic backgrounds of community college students, as these factors relate to the need for equity-minded practice within the classroom; and
  • Bachelor's degree or higher and two years of directly related professional experience; or

  • Associate degree and six years of directly related professional experience; or

  • A valid California Community College Credential; or

  • The equivalent education and/or experience (requires an equivalency).

(Note: If the degrees posted on your transcript(s) do not match exactly as stated above, you must petition for equivalency.)
Desirable Qualifications
  • Experience and skill incorporating elements of diversity, equity, and inclusion into all areas of responsibility;
  • Recent experience working with African American, Asian/Pacific Islander, Latinx, Native American, and other racially minoritized students in the classroom and an understanding of how historical patterns of exclusion of these groups in higher education shape patterns of participation and outcomes;
  • Willingness to examine and remediate one's instructional, relational, and classroom practices to more effectively engage and support racially minoritized students;
  • Related work and professional experience;
  • Experience working with students of various cultural, gender, age, socioeconomic, and ethnic backgrounds, students with disabilities;
  • Experience working with traditionally underrepresented student populations, such as students of color and foster youth, and the ability to support students across sociocultural and socioeconomic diversities;
  • Experience in facilitating multicultural and cross-cultural communication with sensitivity to and an understanding of the diverse academic, socioeconomic, cultural, gender, and ethnic backgrounds of community college students;
  • Experience with, and sensitivity to, under-prepared and high-need students at the community college;
  • Demonstrated ability and desire to work collaboratively with faculty and staff to enhance instruction, curriculum, student learning support and student success;
  • Demonstrated ability to work with computers, and other technologies, which are utilized in providing high-quality instruction and support to students.
  • Demonstrated ability to communicate effectively with students and staff;
  • Knowledge of current assessment methods and materials; and
  • Knowledge of the community college and its mission and goals.

Salary and Benefits
  • Newly hired part-time faculty will be placed on step one (1) of the Part-Time Faculty Salary Schedule
  • All salary classification placements on the salary schedule will be based on education and experience (where applicable) as outlined in the Part-Time Faculty Salary Classifications
  • Sick leave accrual is based on assignment hours

For more information on salary and benefits, please refer to the SCCCD & SCFT Part-Time Faculty Agreement
Selection Procedure
The selection and hiring process for part-time faculty positions is governed by the hiring department. Should there be an interest in your application, the hiring department will contact you directly with any questions and/or to extend an opportunity to interview.
Please note: This position does not have a closing date and applications will be accepted on an ongoing basis. By applying for this position, you understand that you will be placed in a continuous pool. Start dates may vary. If at any time you are no longer interested in this position, please withdraw your application. Your application will remain on file for 18 months. If you are not interviewed/selected for a position within the 18 months and still wish to pursue employment, a new application will be required.
State Center Community College District is an equal opportunity employer. It is our pledge to treat all applicants fairly and equitably in the recruitment and selection process. We endeavor to be a service-minded organization and respond to the needs of our applicants. SCCCD EEO Plan
Additional Information
Continuous Recruitment
This posting has been created to establish an applicant pool for part-time faculty positions. Applications will be reviewed by members of the hiring department when vacancies arise.
Additional Information about the Position
Madera Community CollegeAbout the College
Located in the heart of California, Madera Community College recently became the fourth (4th) and newest college in State Center Community College District. Madera Community College offers affordable, quality education for residents of Madera County and nearby communities. The college is focused on student success, with comprehensive, innovative programs in transfer/general education, occupational education, and developmental education that motivates and empowers students to be successful.
Madera Community College strives to be a fully Guided Pathways college, helping students navigate their way to success at the community college level. Guided Pathways is a transformational framework that focuses on reviewing and revising college policies, procedures and practices with the goal of designing with the student in mind. Guided Pathways presents courses in the context of highly structured, educationally coherent program maps that align with students' goals for careers and further education. The project is designed to significantly increase the number of students who earn a certificate or degree at a California Community College.
Madera Community College at OakhurstAbout the College Center
Madera Community College at Oakhurst is a satellite campus of Madera Community College. It is located just 20 minutes from the South entrance to Yosemite National Park and just minutes away from the Sierra National Forest. The campus provides opportunity and access to higher education for a geographically isolated population in Eastern Madera County. The campus currently serves Oakhurst, Mariposa County, Coarsegold, North Fork and the surrounding communities with over 75 courses in a variety of study areas. The center is slated to open a new permanent campus in Fall 2021.
Madera Community College Mission
"Empowering our students to succeed in an ever-changing world."
  • We proudly provide quality instruction and strong community partnerships that support students' academic and workforce goals.
  • We offer innovative and life-changing opportunities in a diverse, inclusive and equitable environment.
  • We value our students' personal and social growth through responsive and interactive college experiences.
  • We inspire hope and promote a passion for learning.
  • We transform students' lives through high quality college programs and services resulting in degrees, certificates, transfer programs, and career skills.

Madera Community College Vision
"Madera Community College builds effective partnerships, strengthens communities, and transforms lives."
Madera Community College values student success through:
  • Connection and Collaboration
  • Equity and Inclusivity
  • Trust and Accountability

MCC College Planning Site
Open Date
Close Date
Closing Time
Open Until Filled
No
Quick Link
https://scccd.peopleadmin.com/postings/5447

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