2

Remote Data Science Intern Jobs in California (NOW HIRING)

Data Science Intern

Palo Alto, CA ยท On-site +1

$28.27 - $60/hr

A passion for applying mathematical models and computer science technology to data-driven decision-making, along with profound insights into the gaming industry. * Expertise in mathematical modeling ...

Data Science Intern

Palo Alto, CA ยท On-site +1

$28.27 - $60/hr

A passion for applying mathematical models and computer science technology to data-driven decision-making, along with profound insights into the gaming industry. * Expertise in mathematical modeling ...

The Data Analytics Intern will work primarily with the Data Science team but may require cross ... Independent workflow must be effectively harmonized with remote collaboration * Familiarity with ...

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 ...

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

Data Scientist

Santa Cruz, CA ยท 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 ...

Chief Data Scientist

San Francisco, CA ยท 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 ...

next page

Showing results 1-20

Remote Data Science Intern information

What is a Remote Data Science Intern?

A Remote Data Science Intern is a student or recent graduate who works with a company or organization on data science projects while working from a location outside the main office, typically from home. Their tasks often include analyzing large datasets, creating data visualizations, building statistical models, and supporting the team with data-driven insights. Remote internships offer flexibility and allow interns to gain real-world experience in data science while collaborating with teams using digital communication and project management tools. This type of internship helps interns build valuable technical and soft skills that are essential in the evolving data science field.

What types of projects do Remote Data Science Interns typically work on, and how do they collaborate with their teams?

Remote Data Science Interns often work on projects such as data cleaning, exploratory data analysis, building predictive models, or developing data visualizations. Collaboration typically occurs through virtual meetings, shared code repositories, and project management tools, allowing interns to interact regularly with data scientists, engineers, and business analysts. Interns are usually assigned a mentor or supervisor who provides guidance and feedback, helping them align their work with team objectives. This setup not only enhances technical growth but also fosters communication and teamwork skills essential for future roles.

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

AspectRemote Data Science InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools
Work EnvironmentInternship programs, often part-time or project-based, with mentorshipFull-time or part-time remote roles, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech companies, startups, and research institutions for entry-level talentCommon across finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Remote Data Science Intern and a Remote Data Analyst lies in experience and scope. Interns are typically students or recent graduates gaining hands-on experience, while Data Analysts are more experienced professionals focused on analyzing and interpreting data to support business decisions. Both roles often work remotely and require familiarity with data tools, but their responsibilities and career stages differ.

What are the key skills and qualifications needed to thrive as a Remote Data Science Intern, and why are they important?

To thrive as a Remote Data Science Intern, you need a solid background in statistics, programming (Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL databases, and version control systems such as Git is often expected. Strong problem-solving abilities, self-motivation, and clear communication skills help you collaborate effectively and manage tasks independently in a remote setting. These skills ensure you can analyze data accurately, contribute to team projects, and adapt to the demands of remote work environments.
What are the most commonly searched types of Remote Data Science jobs in California? The most popular types of Remote Data Science jobs in California are:
What cities in California are hiring for Remote Data Science Intern jobs? Cities in California with the most Remote Data Science Intern job openings:
Infographic showing various Remote Data Science Intern job openings in California as of June 2026, with employment types broken down into 68% Full Time, 30% Part Time, and 2% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution.

Data Science Intern

Tencent

Palo Alto, CA โ€ข On-site, Remote

$28.27 - $60/hr

Full-time

Medical

Posted 21 days ago


Job description

About the Hiring TeamLevel Infinite is Tencent's global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world.
We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games.What the Role Entails

Tencent Games was established in 2003. We are a leading global platform for game development, operations and publishing, and the largest online game community in China.

Tencent Games has developed and operated over 140 games. We provide cross-platform interactive entertainment experience for more than 800 million users in over 200 countries and regions around the world. Honor of Kings, PUBG MOBILE, and League of Legends, are some of our most popular titles around the world. Meanwhile, we actively promote the development of esports industry, work with global partners to build an open, collaborative and symbiotic industrial ecology, and create high-quality digital life experiences for players.

Level Infinite is Tencent's global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world. We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games.

Job Responsibilities:

  • Collecting, analyzing, and interpreting data to provide data-driven insights and solutions for business problems in the gaming industry, including various analysis and modeling scenarios in the stages of R&D, marketing, and operation.

  • Developing computational workflows based on Python, SQL, and big data tools to handle and analyze large complex datasets; Utilizing BI tools like Preset/Tableau to develop data reports and support data insights and business analysis.

  • Modeling and developing scalable, efficient, automated data analysis, AB testing, machine learning, validation, and service frameworks.

  • Collaborating with product managers and data engineers to design and implement end-to-end data solutions for issues in game development, publishing, and operation.

Who We Look For
  • A master's degree or PHD in computer science, machine learning, or math/statistics, relevant internship experience is a plus

  • A passion for applying mathematical models and computer science technology to data-driven decision-making, along with profound insights into the gaming industry.

  • Expertise in mathematical modeling, statistical analysis, and machine learning, including statistics, machine learning, AB testing, etc.

  • Proficiency in programming languages such as Python, SQL, or related languages.

Location State(s)

US-California-Palo AltoThe expected base pay range for this position in the location(s) listed above is $28.27 to $60.00 per hour. Actual pay may vary depending on job-related knowledge, skills, and experience. This position will be eligible for 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year. Subject to the terms and conditions of the applicable plans then in effect, full-time interns are also eligible to enroll in the Company-sponsored medical plan.Equal Employment Opportunity at Tencent

As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.