ZipRecruiter

Log In

2

Remote Data Science Intern Jobs in California (NOW HIRING)

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$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:

Tanisha Systems, Inc.

Data Scientist

Santa Clara, CA · On-site +1

Data Scientist Salary - Market (DOE) REMOTE / Work From Home Full-Time / Direct-Hire As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models ...

KORE1 Technologies

Principal Data Scientist

Duarte, CA · Remote

$48 - $62/hr

KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Data Scientist that is fully remote. Professional Summary: The Principal Data Scientist will drive ...

KORE1 Technologies

Principal Data Scientist

Duarte, CA · Remote

KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Data Scientist that is fully remote. Professional Summary: The Principal Data Scientist will drive ...

Apogee Global RMS

Senior Data Scientist

San Jose, CA · On-site +1

Bachelor's or Master's in Data Science, Computer Science, Statistics, Mathematics, or related field ... Flexible remote work options. * Professional growth in AI/ML and advanced analytics. * Competitive ...

Waymo

Data Scientist

Mountain View, CA · On-site +1

$170K - $216K/yr

Autonomous driving presents a new paradigm in data science: in addition to leveraging data ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Data Scientist

San Francisco, CA · On-site +1

$170K - $216K/yr

Autonomous driving presents a new paradigm in data science: in addition to leveraging data ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Apogee Global RMS

Senior Data Scientist

San Jose, CA · On-site +1

Bachelor's or Master's in Data Science, Computer Science, Statistics, Mathematics, or related field ... Flexible remote work options. * Professional growth in AI/ML and advanced analytics. * Competitive ...

Apex Systems

Data Scientist

Pleasanton, CA · Remote

Fully remote anywhere in the United States. Employment Type: 6 month contract with possibility to extend or convert. Role Overview A position is available for a Data Scientist to develop predictive ...

Asana

Data Scientist

San Francisco, CA · On-site +1

$202K - $230K/yr

The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven approach in shaping both our product and business strategies. In your role on the Marketing Data Science ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/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:

Waymo

Senior Data Scientist

Mountain View, CA · On-site +1

$204K - $259K/yr

Autonomous driving presents a new paradigm in data science: in addition to leveraging data ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Senior Data Scientist

San Francisco, CA · On-site +1

$204K - $259K/yr

Autonomous driving presents a new paradigm in data science: in addition to leveraging data ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

next page

Showing results 1-20

All JobsData Science Intern JobsRemote Data Science Intern JobsRemote Data Science Intern Jobs in California

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 are popular job titles related to Remote Data Science Intern jobs in California? For Remote Data Science Intern jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Intern jobs in California look for? The top searched job categories for Remote Data Science Intern 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:
Remote Data Science Intern jobs near you
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.
Basketball Data Scientist

Basketball Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$130K/yr

Full-time

Posted yesterday

Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
Swish Analytics is hiring Basketball Data Scientists to join our ever-growing team! 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. We're hiring a Data Scientist to support our Sports Data Models
Duties:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • Bachelor's degree in Data Analytics, Data Science, Computer Science or related technical subject area; Masters highly preferred
  • Demonstrated experience developing models at production scale for Basketball or sports betting
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • Minimum of 4+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base salary: Starting at $130,000
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role NBA Team Locations San Francisco, CA - Remote Remote status Fully Remote

Apply