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Internship Behavioral Data Science Jobs in Berkeley, CA

Walmart

Senior Director, Data Science

Hayward, CA · On-site

$208K - $416K/yr

... based models for user behavior representation. * Deep knowledge of low-latency inference ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

The Voleon Group

Data Scientist

Berkeley, CA · On-site +1

$150K - $190K/yr

Proactively identify abnormal production behavior and communicate them clearly to relevant ... Bachelor's degree in a quantitative discipline (statistics, biostatistics, data science, computer ...

Walmart

Senior Director, Data Science

San Mateo, CA · On-site

$208K - $416K/yr

... based models for user behavior representation. * Deep knowledge of low-latency inference ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Hayden AI

Associate Data Scientist

San Francisco, CA · On-site

$120K - $156K/yr

Master's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a related field. * 6+ months of Data Science related work, projects or internships. * Strong SQL ...

Replit

Data Scientist, Product

Foster City, CA · On-site

$210K - $350K/yr

Strong SQL skills and experience working with large datasets, particularly event-level user behavior data, and designing ETL workflows using dbt. * Proficiency in Python and data science libraries ...

Triumph Arcade, Inc

Data Scientist

San Francisco, CA · On-site

$200K - $400K/yr

Experience working with large-scale user or behavioral datasets. Preferred Qualifications * Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization ...

MSD

Senior Specialist, Data Science

San Francisco, CA · On-site

$129K - $203K/yr

... agent behavior control. * Prior experience working in regulated environments or developing ... Computational Biology, Computational Chemistry, Data Engineering, Data Modeling, Data Science, Data ...

Triumph

Data Scientist

San Francisco, CA · On-site

$200K - $400K/yr

Experience working with large-scale user or behavioral datasets. Preferred Qualifications * Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization ...

Adobe

Senior Manager, GTM Data Science

San Francisco, CA

$149K - $196K/yr

This role sits at the center of how we understand customer behavior, diagnose business performance ... Leading a distributed team of data scientists, you will work closely with senior leaders in Product ...

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All JobsBehavioral Data Science JobsInternship Behavioral Data Science JobsInternship Behavioral Data Science Jobs in Berkeley, CA

Internship Behavioral Data Science information

See Berkeley, CA salary details

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How much do internship behavioral data science jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for internship behavioral data science in Berkeley, CA is $27.56, according to ZipRecruiter salary data. Most workers in this role earn between $21.20 and $30.00 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as an intern in behavioral data science?

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 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 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 are the most commonly searched types of Behavioral Data Science jobs in Berkeley, CA?

The most popular types of Behavioral Data Science jobs in Berkeley, CA are:

What are popular job titles related to Internship Behavioral Data Science jobs in Berkeley, CA?

For Internship Behavioral Data Science jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Internship Behavioral Data Science jobs in Berkeley, CA look for?

The top searched job categories for Internship Behavioral Data Science jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Internship Behavioral Data Science jobs?

Cities near Berkeley, CA with the most Internship Behavioral Data Science job openings:

Internship Behavioral Data Science jobs near you
Infographic showing various Internship Behavioral Data Science job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $57,315 per year, or $27.6 per hour.

Senior Data Scientist - Digital Intelligence, Device Signals

Socure

San Francisco, CA • On-site

$150K - $185K/yr

Full-time

Re-posted 23 days ago

Job description

Why Socure?
Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading.
About the Role
Socure is the leading provider of digital identity verification and fraud prevention solutions, leveraging AI and machine learning to power the most accurate identity trust decisions. Our mission is to eliminate identity fraud and ensure online trust across industries.
We are seeking a Senior Data Scientist to join our Digital Intelligence team. In this role, you will drive the development of machine learning features and models that leverage device, network, and behavioral data to power fraud prevention and identity verification. You'll work with rich, high-volume data from browser, mobile, and API traffic to surface meaningful insights and scalable risk signals. This is a great opportunity to own impactful projects, collaborate cross-functionally, and deepen your expertise in applied ML for device and behavioral intelligence.
What You'll Do
  • Design and deploy advanced machine learning systems for device identification, anomaly detection, and fraud prevention-balancing precision, recall, and real-world adversarial dynamics.
  • Contribute to the development of scalable data pipelines and production ML workflows using structured and unstructured telemetry (e.g., browser, mobile, session data).
  • Investigate high-complexity signals (e.g., emulator use, spoofing, low-entropy fingerprints), applying advanced statistical methods and domain knowledge to detect fraud and abuse.
  • Translate ambiguous business problems into modeling approaches, using a combination of supervised, unsupervised, and heuristic techniques.
  • Partner with engineering, product, and risk teams to contribute to data architecture decisions, signal collection, and planning.
  • Drive experimental design, A/B testing frameworks, and robust validation techniques to ensure model generalizability and long-term trust.
  • Contribute to team standards for ML explainability, risk evaluation, and feature logging.
  • Document methodologies and communicate results effectively through dashboards, presentations, and reports for both technical and executive audiences.
  • Mentor junior data scientists and participate in cross-functional working groups.

What You Bring
  • Master's degree (or equivalent practical experience) in Computer Science, Machine Learning, Statistics, or a related quantitative field.
  • 6+ years of experience in data science or applied machine learning, including experience working in production environments.
  • Excellent SQL skills and extensive experience with large-scale databases and data modeling.
  • Proven track record of deploying and maintaining ML models in live systems, ideally involving streaming or near-real-time data.
  • Proficiency in Python and distributed computing tools (e.g., Spark, PySpark).
  • Hands-on experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow, or similar.
  • Excellent communication skills-able to explain complex technical results to non-technical stakeholders and senior leadership.
  • Experience designing and interpreting experiments, working with real-world noisy datasets, and applying sound validation techniques to assess model robustness.
  • Demonstrated ability to break down ambiguous problems, apply analytical rigor, and uncover meaningful insights that influence product or risk strategies.
  • Strong judgment across data quality, model selection, and business impact tradeoffs.
  • Collaborative mindset and experience working cross-functionally with product, engineering, and analytics teams.
Preferred Qualifications
  • Background in fraud detection, behavioral biometrics, anomaly detection, or adversarial modeling.
  • Experience with high-cardinality feature engineering techniques (e.g., frequency/target encoding, embeddings).
  • Familiarity with privacy-preserving or robust ML techniques.
  • Knowledge of browser/mobile fingerprinting, VPN/proxy detection, or telemetry signal processing.
What You'll Gain
  • Hands-on experience with real-world data science challenges in a high-impact industry.
  • A collaborative and inclusive work environment that fosters learning and growth.
  • Opportunities to grow into staff-level or technical leadership roles over time.

Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly.
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