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Data Science Intern Jobs in San Ramon, CA (NOW HIRING)

Asana

Data Scientist

San Francisco, CA · On-site +1

$171K - $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 ...

Brilent

Software Engineer Intern

San Mateo, CA · On-site

Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft. As a software engineering intern, you ...

MhyMatch

Data Scientist

San Francisco, CA · On-site +1

This role requires a blend of technical data science expertise, analytical problem solving, and a passion for transforming data into actionable insights. Key Responsibilities: * Design and implement ...

CYNET SYSTEMS

Principal Data Scientist

Oakland, CA · On-site

$128 - $148/hr

Master's Degree in Data Science, Machine Learning, Computer Science, Civil Engineering, Mechanical Engineering, Electrical Engineering, Statistics, or equivalent field. * Experience in Data Science ...

NextDeavor Inc.

Data Scientist

San Francisco, CA · On-site

$90.14 - $112.68/hr

Develop and deploy data science models to drive scalable, programmatic business solutions * Recommend and implement testing ideas based on detailed analysis * Query and manipulate large datasets ...

Nirmata

AI Software Engineer Intern

San Jose, CA

As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure ... Focus on machine learning and data science. * AI Agents * MCP Servers * Familiarity with Large ...

Advantest

Data Analytics Intern

San Jose, CA

The intern will also support regional EHS/ESG data management initiatives and assist one of our ... Recent graduate or final-year student pursuing a bachelor's degree in environmental science ...

Verse

Data Scientist

San Francisco, CA · On-site

$146K - $172K/yr

Lead End-to-End Data Science Projects: Own and drive projects from problem definition through scoping, modeling, validation, and production deployment. Translate business problems into scalable, high ...

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All JobsData Science Intern JobsData Science Intern Jobs in San Ramon, CA

Data Science Intern information

See San Ramon, CA salary details

$13

$25

$47

How much do data science intern jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for data science intern in San Ramon, CA is $25.15, according to ZipRecruiter salary data. Most workers in this role earn between $19.33 and $27.40 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on as a Data Science Intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What does a Data Science Intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

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

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.
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Data Science Intern jobs near you
Infographic showing various Data Science Intern job openings in San Ramon, CA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $52,310 per year, or $25.1 per hour.
Data Scientist

Data Scientist

SPECTRAFORCE TECHNOLOGIES Inc.

San Ramon, CA • On-site

Other

Posted 21 days ago

Job description

Data Scientist
San Ramon, CA(Hybrid : 1-2 days in a week)
12 months
****In-person Interview is required****
*LOCAL CANDIDATES ONLY** will need to be able to travel to our local bay area office locations. The role is Hybrid - 20% will be once a week reporting but not limited to Dublin innovation or Bay Area office.
 
Interview Readiness :Please only submit candidates that are avaliable for interviews in-person within 2 weeks from when application is submitted. All interviews will be in-person no exceptions.
EQUIPMENT:
- Due to current lead times and backlog, contractor will need to furnish equipment for Citrix access.Client Laptop will be provided approximately 4-8 weeks from start date.
- PPE will on as needed basis and will be reimbursed through expense process with prior  Manager approval
 
TOP THINGS:
Machine Learning & Algorithms:
  • Hands-on experience building and deploying ML models for real world applications.
  • Understanding of model evaluation, optimization, and feature engineering
Mathematics & Statistics:
  • Solid foundation in probability, linear algebra, calculus, and statistical inference.
Programming Proficiency:
  • Strong command of languages like Python, R, and SQL for data manipulation and model development.
Presentation Skills:
  • Provide insights in clear and concise manner for upper management review through various mediums such as graphics, power point presentations, dashboards, etc
Domain Knowledge (Additional Desired Skills)
  • Understanding of Utility data, has industry context, project management methodologies, Foundry experience.
Position Summary: We are seeking an experienced Data Scientist who will provide strong execution and delivery of data science. Working as a part of the Electric Operations Excellence Team, this Data Scientist will translate business needs into advanced analytics and machine learning models. The successful candidate will be responsible for model selection and identification of appropriate training data sets; building, training, and evaluating models; and delivering results to the business on a regular cadence. This role will work alongside a product owner, technical lead, and with internal stakeholders, process owners to support delivery of high-value analytics machine learning models to derive key insights for execution of the work within Electric Operations.
Position Responsibilities:
  • Leads development of high complexity models and training sets
  • Provides hands-on execution and implementation of data science models
  • Translates business analysis needs into well-defined data science problems, and selecting appropriate models and algorithms and communicates model evaluation and implications of results back to stakeholders
  • Recognizes and prioritizes the most important work related to data science models to achieve highest operational impact for analytics in the business
  • Balances tradeoffs among analytics value, model development methods and design and technologies used to implement data science models with a bias toward action
  • Performs collaborative work on data science problems and mentor junior data scientists
  • Creates shared process models, business objects, activity diagrams and process documentation to effectively articulate multiple views of the business solutions that support technical architecture.
  • Manages development of quantitative models and tools.
  • Collaborates with leaders, other LOBs, and business partners to work on issues, projects or activities.
  • Develops new or revises complex models to predict business demand trends, and volume and expenditures forecasts capacity analysis, and various other metrics to identify potential opportunities.
  • Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis.
  • Partners with leaders to drive high performance in their lines of business.
  • Develop deep understanding of business drivers and financial levers to provide strategic decision support.
  • Oversees resolution of complex projects and programs.
  • Develops and maintains up-to-date detailed project schedules and work plans.
  • Performs analysis on complex data models requiring customized reports and data and presents recommendations.
  • Bachelor''s Degree in Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics or job-related discipline or equivalent experience
  • Job-related experience, 8 years, OR Master
  • Degree and job-related experience, 6 years, OR Doctorate Degree and job-related experience, 3 years. Experience in data modeling, 5yrs
Desired Education / Skills:
  • PhD in engineering or a related field (computer science, natural sciences, mathematics)
  • Experience with Python, R, Scala, SQL
  • Experience developing solutions with Pandas/Scikit-learn, Spark or comparable technologies
  • Experience data science notebooks (Jupyter, Zeppelin or other)
  • Experience with AWS, Azure, cloud computing technologies
  • Scrum team experience
  • Energy industry experience
  • Experience designing efficient data science workflows and database architecture for data science purposes
  • Experience with forecasting, Bayesian networks, and graph analytics
  • Strong statistics experience
  • Experience with software development methodologies and software engineering principles
  • Knowledge of program management theories, concepts, methods, best practices, and techniques as needed to perform at the job level
  • Knowledge of relevant programming languages - for example Visual Basic, Ladder Logic,
  • Programmable Logic Controller, C, SharePoint, HTML, Java, Adobe - as needed to perform at the job level
  • Competency in knowing the most effective and efficient processes to get things done, with a focus on continuous improvement
  • Knowledge of principles, techniques, and procedures used for production and design of technology-based equipment and systems as needed to perform at the job level
  • Knowledge of statistical theories, concepts, methods, best practices, and analyses as needed to perform at the job level
  • Ability to develop reports, models, and simulations as needed to perform at the job level
  • Competency in developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • Knowledge of data model design philosophies and methodologies for data warehouse and OLTP systems

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