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Internship Behavioral Data Science Jobs in California

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform ... behavior modeling), bandit and reinforcement learning methods, and large-scale retrieval and ...

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 ...

The head of this new Data Science division will be expected to solve classic e-commerce problems; targeted advertising and marketing, recommendation systems, behavioral analytics and customer ...

... extract behavioral signals from phone calls, validate predictive models, and activate that ... This is a builder's internship: you'll write real code, work with real data, and ship work that ...

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 ...

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

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

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Internship Behavioral Data Science information

What is an Internship in Behavioral Data Science?

An Internship in Behavioral Data Science is a temporary, practical training position where students or recent graduates gain hands-on experience analyzing human behavior using data science techniques. Interns typically work with large datasets to identify patterns, design experiments, and apply statistical or machine learning methods to understand how people make decisions. This role often involves collaborating with multidisciplinary teams to translate findings into actionable insights for businesses, healthcare, public policy, or technology. The internship provides valuable exposure to real-world projects and can be a stepping stone to a full-time career in behavioral data science.

What is the difference between Internship Behavioral Data Science vs Behavioral Data Scientist?

AspectInternship Behavioral Data ScienceBehavioral Data Scientist
Required CredentialsEnrolled in or recent graduate of relevant degree programs (e.g., Data Science, Psychology, Statistics)Bachelor's or Master's in Data Science, Psychology, Statistics, or related fields; often requires experience or advanced degrees
Work EnvironmentInternship setting, often in tech or research companies, with mentorship and trainingFull-time role in tech, finance, or healthcare industries, with independent project responsibilities
Employer & Industry UsageUsed by companies to evaluate potential talent and provide training opportunitiesEmployed to analyze behavioral data, develop models, and inform business decisions

In summary, Internship Behavioral Data Science positions are entry-level, focused on learning and skill development, while Behavioral Data Scientists are experienced professionals responsible for analyzing behavioral data and creating models to support organizational goals.

What types of projects do interns typically work on in a Behavioral Data Science internship?

Interns in Behavioral Data Science often contribute to projects involving the analysis of user behavior data, designing and running experiments (such as A/B tests), and assisting with data visualization to communicate findings. You may collaborate closely with data scientists, UX researchers, and product managers to interpret behavioral patterns and help inform business or product decisions. This hands-on experience provides a strong foundation in both technical analytics and understanding the psychological factors that drive user actions.

What are the key skills and qualifications needed to thrive as an Internship Behavioral Data Science, and why are they important?

To thrive as an Internship Behavioral Data Science, you need a solid background in statistics, data analysis, and behavioral science concepts, often supported by coursework in psychology, data science, or a related field. Familiarity with data analysis tools such as Python, R, SQL, and experience using data visualization platforms like Tableau or Power BI are typically required. Strong analytical thinking, curiosity, and effective communication skills make candidates stand out in this position. These skills and qualities are crucial for translating complex behavioral data into actionable insights that inform business or research decisions.
What are the most commonly searched types of Behavioral Data Science jobs in California? The most popular types of Behavioral Data Science jobs in California are:
What cities in California are hiring for Internship Behavioral Data Science jobs? Cities in California with the most Internship Behavioral Data Science job openings:
Infographic showing various Internship Behavioral Data Science job openings in California as of July 2026, with employment types broken down into 2% As Needed, 74% Full Time, 17% Part Time, 2% Temporary, and 5% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution.
Data Science Intern

Data Science Intern

Faire

San Francisco, CA

$75/hr

Other

Re-posted 6 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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