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Graduate Data Science Intern Jobs in San Francisco, CA

Faire

Data Science Intern

San Francisco, CA

$75/hr

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

Avathon

Data Scientist Intern

Pleasanton, CA · On-site

$30 - $35/hr

As a Data Science Intern, you will be an essential contributor to our AI-driven initiatives. You'll leverage your knowledge in statistics, machine learning, and programming to analyze large datasets ...

Brilent

Data Scientist 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 data scientist intern, you will work ...

Stripe

PhD Data Scientist, Intern

South San Francisco, CA · On-site

$143K - $156K/yr

Our Data Science team partners deeply with teams across Stripe to ensure that our users, our ... Each intern has a dedicated mentor, and every intern project is part of the team's roadmap that ...

New

Stripe

PhD Data Scientist, Intern

San Francisco, CA · On-site

About the team Our Data Science team partners deeply with teams across Stripe to ensure that our ... Each intern has a dedicated mentor, and every intern project is part of the team's roadmap that ...

Stripe

PhD Data Scientist, Intern

San Francisco, CA · On-site

About the team Our Data Science team partners deeply with teams across Stripe to ensure that our ... Each intern has a dedicated mentor, and every intern project is part of the team's roadmap that ...

Biossance

Data Analyst Intern

Emeryville, CA · On-site

$22 - $32/hr

We're looking for a motivated Data Analyst Intern to join our team. You'll play a hands-on role in ... A student or recent graduate in Data Science, Statistics, Economics, Business Analytics, or a ...

Stand Insurance

Fire Science Intern

San Francisco, CA · On-site

$30/hr

It relies on coarse proxies, backward-looking data, and manual processes, then accepts damage as ... Role Description: We're seeking a Fire Science Engineering Intern to support Stand's fire ...

BIOSSANCE

Data Analyst Intern

Emeryville, CA · On-site

$22 - $32/hr

We're looking for a motivated Data Analyst Intern to join our team. You'll play a hands-on role in ... A student or recent graduate in Data Science, Statistics, Economics, Business Analytics, or a ...

Biossance

Data Analyst Intern

Emeryville, CA · On-site

$22 - $32/hr

We're looking for a motivated Data Analyst Intern to join our team. You'll play a hands-on role in ... A student or recent graduate in Data Science, Statistics, Economics, Business Analytics, or a ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site

The Data Analytics Intern will work primarily with the Data Science team but may require cross-collaboration with our Business Development, Real Estate, and Operations teams. This position is a ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

The Data Analytics Intern will work primarily with the Data Science team but may require cross-collaboration with our Business Development, Real Estate, and Operations teams. This position is a ...

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Graduate Data Science Intern information

See San Francisco, CA salary details

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$26

$49

How much do graduate data science intern jobs pay per hour?

As of May 28, 2026, the average hourly pay for graduate data science intern in San Francisco, CA is $26.51, according to ZipRecruiter salary data. Most workers in this role earn between $20.38 and $28.89 per hour, depending on experience, location, and employer.

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

To thrive as a Graduate Data Science Intern, you need foundational knowledge in statistics, machine learning, and data analysis, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with data visualization tools, and understanding of databases are often required. Strong problem-solving abilities, curiosity, and effective communication help interns collaborate and present insights clearly. These skills enable interns to extract actionable information from data and contribute value to team projects.

What types of projects do Graduate Data Science Interns typically work on, and how do these projects support their professional development?

Graduate Data Science Interns often work on real-world data analysis projects such as building predictive models, cleaning and visualizing data, or assisting with machine learning algorithm implementation. These projects are usually part of larger team initiatives and provide interns with hands-on experience using industry-standard tools and methodologies. Collaborating closely with data scientists, engineers, and business stakeholders, interns gain exposure to the end-to-end data science workflow and receive mentorship to support their growth. This experience not only enhances their technical skills but also helps them develop problem-solving and communication abilities crucial for future career advancement.

What does a Graduate Data Science Intern do?

A Graduate Data Science Intern assists data science teams by analyzing large datasets, developing predictive models, and supporting data-driven decision-making. They often work with programming languages like Python or R, and use tools such as SQL, Excel, and machine learning libraries. Interns contribute to real-world projects, gain hands-on experience in data analysis, and help communicate findings to stakeholders. This role serves as a bridge between academic learning and practical application in the workplace.

What is the difference between Graduate Data Science Intern vs Data Analyst Intern?

AspectGraduate Data Science InternData Analyst Intern
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Statistics, or related fieldOften pursuing or recently completed a degree in Data Analysis, Business, or related field
Work EnvironmentResearch-focused, data modeling, machine learning projects, collaborative teamsData collection, cleaning, reporting, visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, consulting, finance

The Graduate Data Science Intern role typically involves working on machine learning models and advanced analytics, requiring a background in data science or related fields. In contrast, Data Analyst Interns focus more on data cleaning, visualization, and reporting. Both roles are entry-level, often in similar industries, but differ in technical depth and project scope.

What are popular job titles related to Graduate Data Science Intern jobs in San Francisco, CA? For Graduate Data Science Intern jobs in San Francisco, CA, the most frequently searched job titles are:
What job categories do people searching Graduate Data Science Intern jobs in San Francisco, CA look for? The top searched job categories for Graduate Data Science Intern jobs in San Francisco, CA are:
What cities near San Francisco, CA are hiring for Graduate Data Science Intern jobs? Cities near San Francisco, CA with the most Graduate Data Science Intern job openings:
Graduate Data Science Intern jobs near you
Infographic showing various Graduate Data Science Intern job openings in San Francisco, CA as of May 2026, with employment types broken down into 8% Internship, 67% Full Time, 8% Part Time, and 17% Temporary. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $55,149 per year, or $26.5 per hour.
Data Science Intern

Data Science Intern

Faire

San Francisco, CA

$75/hr

Other

Posted 12 days ago

Job description

Data Science Internship - Multiple Teams

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 Teams

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

Risk Management

  • Build and refine models and heuristics across core risk domains - including underwriting, identity verification, returns, markdowns, and disputes & misuse - to reduce financial losses and unlock GMV growth
  • Partner cross-functionally to develop scalable, data-driven frameworks that balance risk exposure with business opportunity

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

Risk Management

  • Solid ML fundamentals with hands-on experience productionizing models using frameworks such as scikit-learn, XGBoost, or deep learning libraries
  • Experience with Python; familiarity with Java, Kotlin, or C++ is a plus
  • Knowledge of statistical techniques including experimentation and causal inference
  • Experience with SQL or other database querying languages preferred

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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