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Data Science Remote Volunteer Jobs in California

YO AI Labs

AI Data Science Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

YO AI Labs

AI Data Science Expert - Remote

Los Angeles, CA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

YO AI Labs

AI Data Science Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Corvel

Data Science Manager

Irvine, CA · Remote

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build, train, and ...

YO AI Labs

AI Data Scientist Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... The ideal candidate will have a strong background in machine learning and data science and a proven ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · Remote

$140K/yr

Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA. Duties:

Dlapiper

Data Scientist

San Diego, CA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

San Francisco, CA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Los Angeles, CA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Palo Alto, CA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Atlassian

Principal Data Scientist

San Francisco, CA · On-site +1

Reporting to the Manager of Global Experiences Data Science, you'll bring deep technical expertise ... Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To ...

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All JobsData Science Volunteer JobsData Science Remote Volunteer JobsData Science Remote Volunteer Jobs in California

Data Science Remote Volunteer information

See California salary details

$21.1K

$106K

$188K

How much do data science remote volunteer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data science remote volunteer in California is $105,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,181.00 and $142,967.00 per year, depending on experience, location, and employer.

What is a data science remote volunteer?

A Data Science Remote Volunteer job involves assisting organizations with data-related tasks such as data cleaning, analysis, and machine learning model development, all while working remotely. Volunteers typically help nonprofits, research institutions, or startups by leveraging data to drive insights and decision-making. This role allows individuals to gain practical experience, contribute to meaningful projects, and improve their data science skills without being in a paid position.

What does a data science remote volunteer do?

As a Data Science Remote Volunteer, your typical tasks may include cleaning and organizing datasets, developing predictive models, visualizing data findings, and preparing reports for stakeholders. You might collaborate with other volunteers or staff members using collaborative tools like Slack, Zoom, or GitHub to work on projects ranging from social impact data analysis to supporting nonprofit decision-making. Projects often involve both individual research and team-based problem solving, giving you experience in each stage of the data science workflow. This volunteer opportunity is a great way to gain real-world experience, expand your professional network, and make a tangible difference through data-driven insights.

What are the key skills and qualifications needed to thrive as a data science remote volunteer?

To thrive as a Data Science Remote Volunteer, you need a solid understanding of statistical analysis, data cleaning, and programming—typically with experience in Python or R and familiarity with machine learning concepts. Proficiency with data visualization tools like Tableau or Power BI, and knowledge of database systems such as SQL, is highly valuable; certifications like Google Data Analytics or DataCamp can further strengthen your candidacy. Strong communication skills, self-motivation, and the ability to collaborate virtually with diverse teams are essential soft skills. These abilities are crucial for delivering impactful insights, contributing effectively in remote settings, and supporting organizational goals even outside a traditional paid environment.

What are popular job titles related to Data Science Remote Volunteer jobs in California?

For Data Science Remote Volunteer jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Science Remote Volunteer jobs in California look for?

The top searched job categories for Data Science Remote Volunteer jobs in California are:

What cities in California are hiring for Data Science Remote Volunteer jobs?

Cities in California with the most Data Science Remote Volunteer job openings:

Data Science Remote Volunteer jobs near you
Infographic showing various Data Science Remote Volunteer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $105,978 per year, or $51 per hour.

Data Science

Adidev Technologies Inc

San Francisco, CA • Remote

Full-time

Re-posted 14 days ago

Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

 

Job Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred

  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employment Type: FULL_TIME

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