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

Faire

Data Science Intern

San Francisco, CA

$75/hr

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e ...

Evolver

Applied Data Science Intern

Palo Alto, CA

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 ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

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 ...

LiveRamp

Co-Op, Data Science

San Francisco, CA · On-site

$31 - $49/hr

Also, if our previous interns are any guides, you will have a ton of fun in the process ... Work hand-in-hand with our data science and engineering teams to design and implement data models ...

LiveRamp

Co-Op, Data Science

San Francisco, CA

$31 - $49/hr

Also, if our previous interns are any guides, you will have a ton of fun in the process ... Work hand-in-hand with our data science and engineering teams to design and implement data models ...

LiveRamp

Co-Op, Data Science

San Francisco, CA

$31 - $49/hr

Also, if our previous interns are any guides, you will have a ton of fun in the process ... Work hand-in-hand with our data science and engineering teams to design and implement data models ...

LiveRamp

Co-Op, Data Science

San Francisco, CA · On-site

$31 - $49/hr

Also, if our previous interns are any guides, you will have a ton of fun in the process ... Work hand-in-hand with our data science and engineering teams to design and implement data models ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

... internships, or research projects). * Demonstrated experience developing generative AI solutions ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

... internships, or research projects). * Demonstrated experience developing generative AI solutions ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

LLNL

Data Science Engineer

Livermore, CA

$121K - $154K/yr

... internships, or research projects). * Demonstrated experience developing generative AI solutions ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

Tencent

Data Science Intern

Palo Alto, CA · On-site +1

$28.27 - $60/hr

A passion for applying mathematical models and computer science technology to data-driven decision ... Subject to the terms and conditions of the applicable plans then in effect, full-time interns are ...

Tencent

Data Science Intern

Palo Alto, CA · On-site +1

$28.27 - $60/hr

A passion for applying mathematical models and computer science technology to data-driven decision ... Subject to the terms and conditions of the applicable plans then in effect, full-time interns are ...

Stripe

PhD Data Scientist, Intern

San Francisco, CA · On-site

We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background. What you'll do About the internship experience Our ...

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

Data Science Internship information

See San Ramon, CA salary details

$13

$25

$47

How much do data science internship jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for data science internship 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 are the key skills and qualifications needed to thrive in the Data Science Internship position, and why are they important?

To thrive as a Data Science Intern, you need a solid understanding of statistics, data analysis, and programming languages such as Python or R, often supported by progress towards a degree in a quantitative field. Familiarity with tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau, Power BI) is highly valued. Strong problem-solving skills, eagerness to learn, and effective communication are essential soft skills for this role. These abilities are crucial for drawing insights from data, collaborating with technical and non-technical colleagues, and contributing meaningfully to projects.

What is a Data Science Internship job?

A Data Science Internship is a temporary position designed to provide hands-on experience in data analysis, machine learning, and statistical modeling. Interns typically work with large datasets, clean and preprocess data, build models, and generate insights to support business decisions. They may also collaborate with data scientists, engineers, and business teams to solve real-world problems. This role helps develop technical skills in Python, SQL, and data visualization while gaining industry exposure.

What types of projects or tasks can I expect to work on during a Data Science Internship?

As a Data Science Intern, you may be involved in projects such as analyzing datasets to uncover trends, building and testing predictive models, or creating visual reports to help stakeholders understand key findings. Interns often support ongoing research, assist with data cleaning and preprocessing, and collaborate on team projects under the guidance of experienced data scientists. Depending on the company's focus, you might also contribute to deploying models or automating data pipelines. These tasks are designed to give you practical experience with real-world data challenges and help develop your technical and analytical skills.

What are the most commonly searched types of Data Science jobs in San Ramon, CA? The most popular types of Data Science jobs in San Ramon, CA are:
What are popular job titles related to Data Science Internship jobs in San Ramon, CA? For Data Science Internship jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Data Science Internship jobs in San Ramon, CA look for? The top searched job categories for Data Science Internship jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Data Science Internship jobs? Cities near San Ramon, CA with the most Data Science Internship job openings:
Data Science Internship jobs near you
Infographic showing various Data Science Internship job openings in San Ramon, CA as of June 2026, with employment types broken down into 14% Internship, 64% Full Time, 11% Part Time, and 11% Temporary. Highlights an 82% In-person, 4% Hybrid, and 14% Remote job distribution, with an average salary of $52,310 per year, or $25.1 per hour.
Data Science Intern

Data Science Intern

Faire

San Francisco, CA

$75/hr

Other

Posted 7 days ago

Job description

Data Science Internship - Fall 2026

Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e-commerce platforms and big-box stores. Our Data Science team builds and maintains the algorithmic systems - spanning search, personalization, recommendation, and ranking - that power our marketplace and help our customers thrive.

We are hiring Data Science interns across several teams and are looking for intellectually curious, self-directed problem solvers eager to work end-to-end on high-impact challenges, from data exploration to production-ready solutions.

Our internships are paid, 12-14 weeks in duration, with flexible start dates. Extensions are considered based on project scope and mutual interest.

Open Team

Search & Recommendation

  • Design and deploy state-of-the-art recommender systems that power ranking and discovery across the marketplace
  • Develop rich user and item representations through embeddings, sequence models, and graph-based methods
  • Build real-time and streaming data pipelines that enable dynamic, context-aware personalization at scale
  • Apply exploration-exploitation strategies - including contextual bandits and reinforcement learning - to optimize recommendations under uncertainty
  • Advance recommendation quality through improvements to diversification, novelty, and long-term user engagement
  • Own the full ML lifecycle: from problem formulation and modeling through offline evaluation and online experimentation

What You'll Do

  • Design, develop, and A/B test cutting-edge machine learning algorithms and analytical solutions, with guidance from senior technical leads
  • Communicate project objectives, methodologies, and results clearly to both immediate teammates and broader cross-functional stakeholders
  • Navigate the complexity of a two-sided marketplace, identifying and addressing the unique challenges that arise at the intersection of retailer and brand needs

What We're Looking For

All candidates must be currently enrolled or recently graduated Master's or PhD students in Computer Science, Operations Research, Statistics, Econometrics, or a related technical discipline. Beyond that, we're looking for team-specific experience:

Search & Recommendation Systems

  • Publications or submissions to top-tier venues such as KDD, RecSys, ICML, NeurIPS, WWW, or SIGIR
  • Experience with recommender systems (collaborative filtering, deep recommenders, ranking), representation learning and embeddings, sequential models (RNNs, Transformers for user behavior modeling), bandit and reinforcement learning methods, and large-scale retrieval and ranking systems
  • Familiarity with offline evaluation metrics (NDCG, MAP, recall) and online experimentation
  • Experience working with large-scale or production datasets

Pay rate:

San Francisco: the pay rate for this role is $75 USD per hour.

Actual hourly pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

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