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Remote Data Science Internships Jobs in California

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 ...

The Voleon Group

Data Scientist

Berkeley, CA · On-site +1

$150K - $190K/yr

Bachelor's degree in a quantitative discipline (statistics, biostatistics, data science, computer ... internships * Experience developing in a production-facing environment and familiarity with ...

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 ...

Align Technology

Sr. Data Scientist

San Jose, CA · On-site +1

$158K - $218K/yr

Act as a senior data science expert within R&D, partnering with cross-functional teams across ... S. Our internship hourly rates are a standard pay determined based on the position and your ...

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 ...

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:

Twilio

Staff Data Scientist

San Francisco, CA · On-site +1

Our dedication to remote-first work, and strong culture of connection and global inclusion means ... You will be part of a highly visible Data Science & Analytics team that serves as the trusted ...

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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.
Business Data Science Manager

Business Data Science Manager

WD-40 COMPANY

San Diego, CA • On-site, Remote

Other

Posted 22 days ago

Job description

Overview
We built this role and then laughed at ourselves a little. Still meant every word of it
This role asks for hands-on data science chops (Python, ML, real statistical modeling) AND genuine commercial fluency (trade ROI, margin analysis, retailer P&Ls). That combination is genuinely rare, and we're not going to pretend otherwise. If you don't hit every single bullet below, apply anyway. We'd rather talk to someone brilliant with an unconventional path than pass on the right person because their resume doesn't tick every box.
What you're walking into
Here's the honest version: you'd be the second dedicated data scientist in our commercial org. The data infrastructure is a work in progress - Microsoft Fabric, D365, and a taxonomy that's still being built. Plan for 6-12 months of plumbing before the elegant modeling takes center stage. If that sounds exciting - building something real from scratch, with real ownership - keep reading. If you need a mature stack on day one, this probably isn't your spot.
What you get in return: genuine autonomy, exposure to the CEO and CFO, models that actually ship, and a director who will geek out on code with you. Oh, and a team with a lot of personality. Forewarned is forearmed.
This is a remote role with an opportunity to work from anywhere in the US. Applicants must be authorized to work for any employer in the U.S. and should not require visa sponsorship now or in the future.
Responsibilities
How you'll spend your time
  • Advanced analytics & model building - ~50%
  • Data infrastructure & strategy - ~20%
  • Business partnership & storytelling - ~20%
  • Omni-channel & e-commerce insights - ~10%

The actual job
Build and scale models (the main event). Time series forecasting, price elasticity, market mix modeling, channel optimization, ML-based attribution. You work in Python. You build from scratch, hand off production-ready outputs, and help scale what's already working.
Do the plumbing. Cleaning, structuring, and governing data isn't the glamorous part, but it's where the first year goes. You keep stakeholders bought in while the foundation gets built - which takes communication as much as code.
Turn math into decisions. Regression output into a three-slide exec narrative. You lead with the decision, not the methodology. You can present to a VP who just wants the answer and a data engineer who needs to know what pipeline or metrics the analysis depends on- and you know which conversation you're in.
Coach the team around you. Two Sales Insights & Analytics Managers handle front-end POS and forecasting. You help them understand what the models mean and how to sell the insights to the business.
Qualifications
What we're really looking for
  • A pragmatist, not a show-off. You pick the simplest model that answers the question. You can explain why that was the right call, including what you'd do if the data set was half as clean.
  • Real coding ability. Python and SQL. We want the math geek, not the dashboard builder.
  • An ethical spine. You tell leadership what the data says - not what they want to hear. Politely, ideally, but you don't roll over.
  • Low ego, high collaboration. WD-40 has a strong crew culture. You thrive when you don't always get the credit.
  • Curiosity and self-sufficiency. You pick up a new stack in under 90 days and can describe exactly how you did it - not just "I'm a fast learner."
  • Resilience under ambiguity. You get a vague question from a VP and come back with the right answer - not just the one that was literally asked.
  • Commercial fluency is a plus. CPG, finance, or sales analytics background where you understand margin, trade spend, and how retailers actually think gives you a bit of a head start.

Qualifications
Education: Bachelor's in a STEM field (math, statistics, computer science, physics, data science, or similar) required. Master's in a STEM field desired.
Experience: 5+ years preferred, but if you have 2+ years and you're exceptional, please apply.
Tech stack: Python • SQL • Microsoft Fabric / D365 • Power BI or Tableau familiarity helpful.
About Us
Why people stay at WD-40
We're not a fast, build-a-big-team environment. What we offer: real ownership of a greenfield function, full remote flexibility, a 70-year-old brand with genuine stability, and a coach who will challenge you technically and trust you to run. If you've been through tech layoffs and want to build something meaningful without the whiplash - that's who we're looking for. Please consider employment with WD-40 Company only if you feel as strongly about our values as we do: We live, breathe, and play by our values every day.
Still on the fence? Submit anyway
Research consistently shows that underrepresented candidates - including women - are less likely to apply when they don't hit 100% of a JD. This role describes a genuinely rare combination of skills. If you're deeply strong in some of these areas and honestly curious about the rest, you're closer to our person than you think. We'd love to hear from you.
#LI-CM1

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