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Part Time Data Scientist Remote Jobs in California

Booz Allen Hamilton, Inc.

Data Engineer

San Diego, CA · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0244165 Location: San Diego,CA,US Share job via: Share Data Engineer ... Master's degree in Computer Science, Computer Engineering, Mathematics, Data Science, Software ...

Booz Allen Hamilton, Inc.

Data Engineer

San Diego, CA · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0244671 Location: San Diego,CA,US Share job via: Share Data Engineer ... You Have: * 1+ year of experience within data engineering, data science, or data analytics ...

Booz Allen Hamilton, Inc.

Data Analyst

San Diego, CA · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0243644 Location: San Diego,CA,US Share job via: Share Data Analyst ... Experience performing data science and predictive analytics using tools such as Pandas, Polars ...

Earthjustice

One-Year Data Assistant

San Francisco, CA · Remote

$35.49 - $39.44/hr

The One-Year Data Assistant is expected to work a part-time (20 hours/week) schedule, and may work hybrid or remote from the following locations: San Francisco, CA or Remote U.S. The successful ...

Field Materials

$111K - $137K/yr

Our platform integrates with all major construction ERPs, eliminating manual data entry for ... Self-Directed: You're comfortable working independently in a part-time, remote capacity and ...

Enara Health

Remote Nutrition Specialist

San Mateo, CA · On-site +1

$30 - $40/hr

... of data, digital, and clinical treatments to provide personalized plans with measurable results ... Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ...

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All JobsData Scientist JobsPart Time Data Scientist Remote JobsPart Time Data Scientist Remote Jobs in California

Part Time Data Scientist Remote information

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

AspectPart Time Data Scientist RemotePart Time Data Analyst Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often some programming experienceBachelor's in Data Analysis, Statistics, or related field; basic analytical skills
Work EnvironmentRemote, flexible hours, project-basedRemote, flexible hours, project-based
Employer & Industry UsageTech companies, finance, healthcare, consultingRetail, marketing, finance, healthcare
Common Search & Comparison IntentUnderstanding role differences, qualifications, and remote work optionsUnderstanding role scope, skills needed, and remote opportunities

Part Time Data Scientist Remote roles focus on advanced analytics, machine learning, and predictive modeling, requiring stronger technical credentials. Part Time Data Analyst Remote positions typically involve data cleaning, reporting, and basic analysis. Both roles are remote and flexible but differ in complexity and skill requirements.

What are the key skills and qualifications needed to thrive as a Part Time Data Scientist (Remote), and why are they important?

To thrive as a Part Time Data Scientist (Remote), you need a strong background in statistics, data analysis, and programming (commonly in Python or R), often supported by a degree in a quantitative field. Familiarity with machine learning frameworks, data visualization tools, and cloud-based platforms is typically required, along with experience using SQL and version control systems like Git. Excellent problem-solving skills, self-motivation, and clear communication are vital soft skills for collaborating across distributed teams and managing projects independently. These competencies ensure accurate insights, efficient remote workflows, and impactful contributions to data-driven decision making.

How does working as a part-time remote data scientist typically impact collaboration and communication with the rest of the team?

As a part-time remote data scientist, effective collaboration often relies on clear communication and proactive engagement with both technical and non-technical team members. You'll likely use project management tools, version control systems, and regular virtual meetings to stay aligned with full-time colleagues and stakeholders. Flexibility in scheduling and clear documentation of your work are key, as team members may be in different time zones or working hours. Building strong relationships through regular updates and responsiveness can help ensure your contributions are well-integrated, despite the part-time and remote nature of the role.

What is a Part Time Data Scientist (Remote)?

A Part Time Data Scientist (Remote) is a professional who analyzes and interprets complex data to help organizations make informed decisions, but works fewer hours than a full-time employee and does so from a location outside the traditional office. Their responsibilities often include building data models, generating reports, and collaborating with teams virtually. This role is ideal for individuals seeking flexibility in their schedule or balancing other commitments, while still applying their analytical skills in a professional setting.
What are the most commonly searched types of Data Scientist Remote jobs in California? The most popular types of Data Scientist Remote jobs in California are:
What cities in California are hiring for Part Time Data Scientist Remote jobs? Cities in California with the most Part Time Data Scientist Remote job openings:
Part Time Data Scientist Remote jobs near you
Infographic showing various Part Time Data Scientist Remote job openings in California as of July 2026, with employment types broken down into 3% Full Time, and 97% Part Time. Highlights an 1% In-person, 3% Hybrid, and 96% Remote job distribution.

Science and Conservation Associate

Laguna Ocean Foundation

Laguna Beach, CA • Remote

Part-time

Posted 18 days ago

Job description

Science and Conservation Associate

Location: Laguna Beach, California
Organization: Laguna Ocean Foundation (LOF)
Status: Part-time (Contingent upon funding)

About Laguna Ocean Foundation

The Laguna Ocean Foundation (LOF) is a nonprofit dedicated to protecting and restoring Laguna Beach’s coastal ecosystems through science, education, conservation, and community engagement. Working with universities, government agencies, and community partners, LOF is advancing innovative coastal monitoring by integrating field ecology with drones, GIS, machine learning, environmental DNA (eDNA), and citizen science.

Position Summary

LOF seeks a motivated Science and Conservation Associate to support the technical foundation of its research and conservation programs. This position transforms field observations into high-quality geospatial data that inform ecological monitoring, restoration, conservation planning, and public education across Laguna Beach’s Marine Protected Areas.

The Associate will manage geospatial workflows—from drone and underwater ROV surveys through machine-learning analysis, GIS integration, habitat mapping, and scientific visualization. Working closely with LOF biologists, university researchers, GIS specialists, and interns, the Associate will help build one of California’s most comprehensive long-term coastal spatial datasets while supporting scientific publications, grant-funded research, StoryMaps, and emerging conservation technologies.

Position contingent upon funding.

Primary Responsibilities

Remote Sensing & Field Operations

● Conduct drone surveys under FAA Part 107 regulations.

● Operate underwater ROVs to document marine habitats.

● Coordinate field logistics, equipment, permits, and data collection.

GIS & Spatial Analysis

● Process drone imagery into ortho-mosaics and elevation models.

● Maintain GIS databases and produce habitat, species, and change-detection maps.

● Integrate remote sensing with biological field data.

Artificial Intelligence & Data Science

● Develop and apply machine-learning models for habitat and species classification.

● Improve classification workflows and support Python-based geospatial automation.

Research & Communication

● Collaborate with scientists and partner institutions on applied conservation research.

● Assist with scientific publications, technical reports, grant proposals, and conference presentations.

● Develop Story-Maps, dashboards, and visual products that communicate science to diverse audiences.

Training & Program Support

● Mentor interns and volunteers in GIS, drone operations, and data collection.

● Help establish standardized monitoring and data management protocols.

Required Qualifications

● Bachelor’s degree in GIS, Geography, Environmental Science, Marine Science, Engineering, Computer Science, Data Science, Ecology, or related field (or equivalent experience).

● At least one year of experience in remote sensing, GIS, spatial analysis, or environmental monitoring.

● Proficiency with ArcGIS Pro and/or QGIS.

● Experience with Python for geospatial analysis or machine learning.

● Experience processing drone imagery using photogrammetry.

● Familiarity with image classification or computer vision workflows.

● Knowledge of geospatial data management and reproducible workflows.

● FAA Part 107 certification (or ability to obtain).

● Excellent organizational, communication, and technical writing skills.

Preferred Qualifications

● Experience in coastal or marine ecosystems.

● Underwater ROV experience.

● Familiarity with eDNA, ecological monitoring, or conservation research.

● Experience working with universities, government agencies, or nonprofits.

● Grant writing or peer-reviewed publication experience.

● Experience with ArcGIS Online, StoryMaps, Dashboards, or web GIS.

● Knowledge of TensorFlow, PyTorch, Detectron2, or similar frameworks.

● Experience with cloud-based geospatial workflows.

Please send your resume and cover letter to: Please send in your material by July 31 to info@lagunaoceanfoundation.org

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