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Data Scientist Internship Jobs in San Ramon, CA (NOW HIRING)

Senior/Staff Data Scientist

Sunnyvale, CA · On-site

$184K - $200K/yr

Mentor and guide junior data scientists and interns, fostering their growth by providing technical direction, feedback, and support * Manage multiple projects independently, effectively prioritizing ...

Mentor and guide junior data scientists and interns, fostering their growth by providing technical direction, feedback, and support * Manage multiple projects independently, effectively prioritizing ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Showing results 21-40

Data Scientist Internship information

See San Ramon, CA salary details

$51.4K

$184.4K

$272.1K

How much do data scientist internship jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data scientist internship in San Ramon, CA is $184,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,200.00 and $190,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Scientist Internship vs Data Analyst Internship?

AspectData Scientist InternshipData Analyst Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Computer Science, or related fieldsOften pursuing or recent graduate in Statistics, Business, or related fields
Work EnvironmentCollaborates on advanced analytics, machine learning models, and predictive analyticsFocuses on data cleaning, reporting, and descriptive analytics
Employer & Industry UsageUsed in tech, finance, healthcare, and industries emphasizing AI and machine learningCommon in marketing, retail, and business intelligence sectors

While both internships involve working with data, Data Scientist Internships focus on building models and advanced analytics, whereas Data Analyst Internships emphasize data reporting and descriptive analysis. The choice depends on your skills and career goals in data roles.

What kind of projects and tasks can I expect to work on during a data scientist internship?

As a Data Scientist Intern, you'll typically work on real-world data problems, such as cleaning and analyzing large datasets, developing predictive models, and visualizing insights for stakeholders. You might collaborate closely with data engineers, software developers, and business analysts to support ongoing projects or conduct exploratory data analysis for new initiatives. Interns often have opportunities to present their findings and contribute to decision-making processes, gaining hands-on experience with industry-standard tools and methodologies. The work environment is usually dynamic and supportive, with mentorship from experienced data scientists to help you grow your technical and analytical skills.

What is a data scientist internship?

A Data Scientist Internship is a temporary, entry-level position where students or recent graduates gain hands-on experience working with real-world data. Interns typically assist with data collection, cleaning, analysis, and visualization under the supervision of experienced data scientists. The role helps interns develop technical skills in programming, statistics, and machine learning while contributing to projects that solve business problems. Internships often serve as a stepping stone to a full-time data science career, providing valuable industry exposure and networking opportunities.

What are the qualifications to get a data scientist internship?

To get a data scientist internship, you must either be pursuing a degree in data science, applied math, or computer science or have recently completed a degree in a related area. To qualify for an intern position, you need to have a strong background in math, and you must understand programming languages like Python, Java, and C++. As an intern, you need to be able to follow directions and learn new concepts rapidly. Additional qualifications include excellent grades, strong communication skills, an understanding of algorithms, and extensive knowledge of statistical and predictive modeling concepts.

What are the most commonly searched types of Data Scientist jobs in San Ramon, CA? The most popular types of Data Scientist jobs in San Ramon, CA are:
What are popular job titles related to Data Scientist Internship jobs in San Ramon, CA? For Data Scientist Internship jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Data Scientist Internship jobs in San Ramon, CA look for? The top searched job categories for Data Scientist Internship jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Data Scientist Internship jobs? Cities near San Ramon, CA with the most Data Scientist Internship job openings:
Infographic showing various Data Scientist Internship job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $184,411 per year, or $88.7 per hour.

Senior/Staff Data Scientist

Ceribell, Inc

Sunnyvale, CA • On-site

$184K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

About Ceribell
Ceribell is a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions. The Ceribell System is a novel, point-of-care electroencephalography ("EEG") platform specifically designed to address the unmet needs of patients in the acute care setting, and is being used in hundreds of community hospitals, large academic facilities and major IDN's across the country. Our entire team is driven by a shared commitment to transforming the landscape of critical care through our rapid seizure detection technology, come join the movement!
Position Overview:
We are looking for a talented data scientist/algorithm engineer who is passionate about biomedical applications and has a strong background in machine learning, pattern recognition, signal processing and time-series analysis. The successful candidate will join the data science team and will be responsible for design and development of new state-of-the-art classification algorithms that will take the field of EEG neurodiagnostics to the next level.
What you'll do:
  • Use time-series analysis, statistical signal processing and machine learning techniques to design classification algorithms for various neurological indications
  • Analyze data for trends and patterns, and interpret data with a clear objective in mind
  • Collaborate with business and clinical stakeholders to define project needs and communicate results of the models/analytical solutions designed
  • Select and implement appropriate evaluation metrics to assess the performance of algorithms and models, considering both technical accuracy and clinical relevance.
  • Document and validate models and perform statistical analysis to comply with regulatory requirements for medical device algorithms
  • Mentor and guide junior data scientists and interns, fostering their growth by providing technical direction, feedback, and support
  • Manage multiple projects independently, effectively prioritizing tasks and aligning deliverables with key milestones to ensure timely and successful outcomes
  • Stay updated with the latest advancements in machine learning and neurodiagnostics to ensure the algorithms are state-of-the-art

What We're Looking For:
  • PhD in Electrical Engineering, Computer Science, Statistics, or equivalent disciplines
  • 7+ years of relevant research and/or industry experience in signal processing, filtering, statistical data analysis, time-series analysis, pattern recognition, feature engineering, machine learning and algorithm development
  • Proficient in Python and/or Matlab and/or R or similar programming languages
  • Experience and interest in biological signal processing and algorithm development for biomedical applications
  • Strong analytical skills, detail-oriented and collaborative
  • Experience with large-scale datasets, including preprocessing, cleaning, and handling noisy or imbalanced data in a biomedical context
  • Proven ability to work independently, define scope and and manage complex technical projects from concept to deployment
  • Experience with advanced machine learning techniques, such as deep learning architectures (e.g., CNNs, RNNs) and their application to time-series data
  • Strong preference for experience in neurodiagnostics or EEG data processing and algorithm development

Compensation Range
$184,000-$200,000 USD
A candidate's final salary offer will be based on their skills, education, work location and experience, and thus it may differ from the posted range. Compensation may also include bonuses consistent with Ceribell's corporate compensation plan. Note, the above description is not all-encompassing and Ceribell reserves the right to change or modify job duties and assignments at any time.
In addition to your base compensation, Ceribell offers eligible employees the following:
  • Performance-based incentive compensation (varies by role)
  • Equity opportunities
  • 100% Employer paid Health Benefits for Employees
  • 50% - 70% Employer paid Health, Dental & Vision for dependents (depending on plan selection)
  • 100% paid Life and Long-Term Disability Insurance
  • 401(k) with a generous company match
  • Employee Stock Purchase Plan (ESPP) with a discount
  • Monthly cell phone stipend
  • Flexible paid time off
  • 13 Paid Holidays + 3 Company Wellness Days
  • Excellent parental leave policy
  • Fantastic culture with tremendous career advancement opportunities
  • Joining a mission-minded organization!

Application Deadline: Ongoing
Other Job DetailsCeribell reports transfers of value to health care providers (HCPs) as required by federal and state transparency laws. These laws and implementing regulations require Ceribell to provide government agencies with HCPs' names, addresses and the type of payments or other value received, generally for public disclosure. If you are an HCP and we pay or reimburse your recruiting expenses as a result of interviewing with Ceribell, your name, address and the amount of payments made may be reported to the government.
Equal Opportunity EmployerCeribell is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity or expression, national origin, age, marital status, disability, veteran status or any other characteristic protected by law. Ceribell complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Ceribell is an E-Verify employer. Any applicant with a disability who requires an accommodation during the application process should contact talent@ceribell.com to request reasonable accommodation.
Privacy StatementFor information on how Ceribell processes personal data of job applicants, please review our Privacy Policy.
Compliance DisclaimerIf you believe this job posting is non-compliant, please submit a report to legal@ceribell.com. Please note that we will not respond to inquiries unrelated to job posting compliance.