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Part Time Data Scientist Machine Learning Jobs in Fresno, CA

Verdantas

Senior Scientist (Part-Time)

Fresno, CA

$42 - $47/hr

  • Retirement

... scientists, engineers, geologists, and technical specialists, embedded in a people-focused culture ... We partner with clients to deliver smart, data-driven solutions to complex environmental and ...

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All JobsData Scientist Machine Learning JobsPart Time Data Scientist Machine Learning JobsPart Time Data Scientist Machine Learning Jobs in Fresno, CA

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:

Part Time Data Scientist Machine Learning jobs near you

Senior Scientist (Part-Time)

Verdantas

Fresno, CA

$42 - $47/hr

Part-time

Retirement

Posted 3 days ago

New

Verdantas rating

9.4

Company rating: 9.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

15th of 449 rated engineering

Job description

Welcome to Verdantas, where innovation meets sustainability, and your career finds purpose!

At Verdantas, we're redefining environmental consulting and sustainable engineering through our use of cutting-edge modeling and digital technology and our genuine commitment to people. Our work spans high-growth sectors like water resources, resilient land use, energy transformation, and civil infrastructure.

Our commitment to excellence, across more than 90 offices, is championed by a team of over 2,000 experts, scientists, engineers, geologists, and technical specialists, embedded in a people-focused culture, prioritizing the well-being of our employees, clients, and the communities we serve. We partner with clients to deliver smart, data-driven solutions to complex environmental and infrastructure challenges. We don't just solve problems; we help shape a more sustainable future.

Join a people-first culture that values your well-being, empowers your growth, and amplifies your impact. At Verdantas, your career goes beyond the expected, and your work helps build a better world.

Ready to shape the future of resilient communities?

We are seekingaSenior Scientist to join our growing team in San Ramon, CA. In this role, you will lead and independently execute complex ecological consulting efforts, apply advanced technical expertise, conduct specialized field studies and analyses, mentor junior staff, and provide senior-level guidance and oversight of technical deliverables. Apply today and make a lasting impact.

What You'll Do:

  • Identify potential areas of service improvement; recommend and assist with developing appropriate solutions
  • Conduct desktop assessments of special-status species, wetlands, waters, and other sensitive biological resources
  • Conduct biological reconnaissance surveys, habitat evaluations, habitat mapping, species-specific surveys, nesting bird surveys, botanical inventories, impact assessments, and mitigation monitoring
  • Coordinate and communicate with construction staff and management to facilitate workflow and ensure compliance with environmental requirements
  • Prepare reports for pre-activity surveys, pre-construction surveys, and biological compliance monitoring
  • Prepare complex technical reports and applications for regulatory permits
  • Preparing daily survey and monitoring reports, and more complex technical reports
  • Implement habitat and species restoration, enhancement, or management projects
  • Utilize various tools and methods (GPS, GIS, binoculars, cameras, aerial surveys, statistics, and specialized software and databases) to conduct biological resource assessments and impact analyses
  • Conduct literature reviews

Manage Projects:

  • Prepare, review, and understand the scope, schedule, and budget of work to be completed
  • Monitor project progress to meet deadlines
  • Follow up with stakeholders on the completion or delay of project phases
  • Schedule, attend, or facilitate project meetings
  • Take initiative, resolve issues, and identify improved procedures to ensure client needs are met effectively

Lead a Team:

  • Develop field survey scope and schedule, and interpret protocol requirements
  • Conduct and lead field work serving as their primary point of contact, including daily field check-ins and check-outs
  • Ensure team members have the tools and skills necessary to perform their roles effectively and satisfy their agreements
  • Mentor junior staff to help build and strengthen their technical and professional skillsets
  • Provide routine performance feedback to assigned team members
  • Ensure team members follow company policies and procedures

What You'll Bring:

  • Bachelor's degree in environmental biology, ecology, wildlife management, botany, or related field
  • Advanced degree (M.S., M.A., M.E.M., or Ph.D.) or professional certificate (e.g., GIS, P.M.P.) is preferred
  • 8+ more years or more of professional experience in biological sciences, including strong field skills
  • Strong knowledge of California flora and fauna and T&E/sensitive species ecology (permits to handle T&E species preferred)
  • Strong understanding of California regulatory framework (ESA, CESA, CEQA, NEPA, 401/404 permitting) and experience preparing and implementing permitting requirements
  • Ability to work independently and be highly responsive to the team
  • Ability to use and proficiency with various tools and methods (e.g., Google Earth, GPS, GIS, binoculars, cameras, aerial surveys, statistics, and specialized software and databases) to help conduct biological resource assessments and impact analyses
  • Ability to work in the field and an office environment
  • Ability to travel, including overnight
  • Valid driver's license

Salary Range:

$42 - 47/hr

Benefits:
  • Flexible Work Environment
  • 401(k) with Company Match

Verdantas strives to develop new ways to increase diversity awareness within our organization. We recruit and reward our employees based on capability and performance - regardless of race, gender, sexual orientation, gender identity or expression, lifestyle, age, educational background, national origin, religion, or physical ability. For us, it is imperative to build balanced teams from all walks of life and we believe that a diverse workforce is a stronger workforce.

Verdantas is an EOE race/color/religion/sex/sexual orientation/gender identity/national origin/disability/vet

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