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Remote Data Science Internships Jobs in California

Corvel

Data Science Manager

Irvine, CA · On-site +1

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

Tencent

Data Science Intern

Palo Alto, CA · On-site +1

$28.27 - $60/hr

A passion for applying mathematical models and computer science technology to data-driven decision ... Subject to the terms and conditions of the applicable plans then in effect, full-time interns are ...

Tencent

Data Science Intern

Palo Alto, CA · On-site +1

$28.27 - $60/hr

A passion for applying mathematical models and computer science technology to data-driven decision ... Subject to the terms and conditions of the applicable plans then in effect, full-time interns are ...

Jj

Manager, Data Science - Oncology

San Diego, CA · On-site +1

Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts ... Proven record leading improvement initiatives with multi-disciplinary and remote partners.

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 ...

Mercor

Chief Data Scientist

San Francisco, CA · Remote

$70 - $100/hr

Data Science Experts Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology ...

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Remote Data Science Internships information

How much do Netflix data science interns make?

Netflix data science interns typically earn between $20 and $30 per hour, depending on location and experience. Internships often last 3 to 6 months and may include additional benefits such as stipends or housing support. Compensation can vary based on the company's internship program and market conditions.

Is 30 too late for data science?

Age is not a barrier to pursuing a data science internship or career. Many data scientists start at different ages, and skills such as programming, statistics, and machine learning can be developed at any age with dedication. Employers value skills and experience over age, so continuous learning and building a strong portfolio are key regardless of age.

Is it possible to get a remote internship?

Remote data science internships are widely available and often offered by companies seeking to hire interns who can work from any location. These internships typically require skills in programming, data analysis, and tools like Python or R, and may have specific application deadlines and eligibility criteria.

Can data science jobs be done remotely?

Many data science internships and jobs, including remote data science internships, can be performed remotely as they primarily involve analyzing data, coding, and using cloud-based tools. Employers increasingly offer remote options to access a wider talent pool and support flexible work arrangements, often requiring proficiency in programming languages like Python or R and familiarity with collaboration tools.

What is the difference between Remote Data Science Internships vs Remote Data Analyst Internships?

AspectRemote Data Science InternshipsRemote Data Analyst Internships
Required SkillsProgramming (Python, R), statistics, machine learningData visualization, SQL, basic statistics
Work EnvironmentCollaborative teams, research-focusedBusiness analysis, reporting
Industry UsageTech, finance, healthcareRetail, marketing, finance

Remote Data Science Internships focus on developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analyst Internships emphasize data interpretation, visualization, and reporting. Both roles are remote, but they serve different functions within organizations, with data science being more technical and analytical, while data analysis centers on business insights.

What are the most commonly searched types of Data Science Internships jobs in California? The most popular types of Data Science Internships jobs in California are:
What are popular job titles related to Remote Data Science Internships jobs in California? For Remote Data Science Internships jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Internships jobs in California look for? The top searched job categories for Remote Data Science Internships jobs in California are:
What cities in California are hiring for Remote Data Science Internships jobs? Cities in California with the most Remote Data Science Internships job openings:
Remote Data Science Internships jobs near you
Infographic showing various Remote Data Science Internships job openings in California as of June 2026, with employment types broken down into 33% Internship, 50% Full Time, and 17% Part Time. Highlights an 100% Remote job distribution.
Data Science

Data Science

Adidev Technologies Inc

San Francisco, CA • Remote

Full-time

Posted 25 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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