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Internship Behavioral Data Science Jobs in California

Director, Data Science

San Francisco, CA ยท On-site

$302K - $415K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Opportunity As Director, Data Science , you will lead the data science strategy and team for a ... Strong product sense and business judgment, with the ability to connect user behavior, company ...

... user or behavioral datasets. Preferred : โ€ข Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation. โ€ข Prior ...

Data Scientist

Berkeley, CA ยท 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 ...

Data Scientist

Berkeley, CA ยท On-site

$7.5K/mo

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

Senior Director, Data Science

Milpitas, CA ยท On-site

$208K - $416K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Senior Director, Data Science

Cupertino, CA ยท On-site

$208K - $416K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Data Engineer

Los Angeles, CA ยท On-site

$60/hr

Excellent Communication Qualifications * 7+ years of experience in data science, ideally in ... Strong skills in feature engineering, handling large-scale behavioral data, and building ML ...

Senior Director, Data Science

Mountain View, CA ยท On-site

$208K - $416K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Senior Director, Data Science

Hayward, CA ยท On-site

$208K - $416K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Senior Director, Data Science

San Jose, CA ยท On-site

$208K - $416K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Senior Director, Data Science

Fremont, CA ยท On-site

$208K - $416K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Senior Director, Data Science

San Mateo, CA ยท On-site

$208K - $416K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Showing results 41-60

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 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 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 job categories do people searching Internship Behavioral Data Science jobs in California look for?

The top searched job categories for Internship 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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Director, Data Science

Superhuman

San Francisco, CA โ€ข On-site

$302K - $415K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.
Superhuman team members for this role must be based in the San Francisco Bay Area.
About Superhuman
Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the Superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company's products include Grammarly's writing assistance, Superhuman Docs's collaborative workspaces, Mail's inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Refounded in 2025, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here.
The Opportunity
As Director, Data Science, you will lead the data science strategy and team for a core product in our AI-native suite that works everywhere our customers work-powering agentic features across surfaces and making our products the best place to write, track, and build. You will shape how data informs product direction, investment decisions, and user experience, partnering closely with Product, Engineering, Design, GTM, and company leadership to unlock growth and deliver measurable impact.
We're building and growing our Data Science teams in San Francisco and New York, with one Data Science leader anchored in each hub.
In either role, you will build and mentor a high-performing data science team that combines strategic thinking with hands-on execution. You'll guide the team in tackling high-impact product, growth, and business questions; develop rigorous experimentation and measurement practices; and help ensure that decisions are grounded in deep user understanding and clear business outcomes.
This is an opportunity to work on a product used by millions, collaborate with a globally distributed and highly cross-functional team, and apply the latest technologies to shape the future of AI-powered productivity.
You'll be especially well-positioned to succeed if you are energized by building in fast-moving environments, raising the bar on analytical rigor, and developing exceptional teams. This role is ideal for a leader who can move fluidly between vision and execution-someone who can set direction, coach senior talent, influence across functions, and turn ambiguity into focus and momentum.
Qualifications
  • 10+ years of experience in data science, analytics, experimentation, or a related quantitative field, including significant experience leading high-performing teams.
  • Proven track record of setting data science strategy for product-led or growth-focused organizations and translating business goals into clear analytical priorities.
  • Deep expertise in experimentation, causal inference, statistical analysis, and measurement frameworks, with strong judgment on how to apply rigor in fast-moving product environments.
  • Strong fluency in SQL, R, Python, and/or modern data tooling, with the ability to guide teams on analytical best practices, data quality, and scalable measurement approaches.
  • Experience partnering closely with Product, Engineering, Design, and GTM leaders to influence roadmap decisions, shape product strategy, and drive measurable business outcomes.
  • Track record of coaching senior talent, elevating team performance, and creating an inclusive environment where individuals can do their best work.
  • Exceptional written and verbal communication skills, including the ability to influence executives and align cross-functional stakeholders around data-informed decisions. Keen eye and attention to detail for the visual display of quantitative information.
  • Strong product sense and business judgment, with the ability to connect user behavior, company strategy, and commercial outcomes.
  • Ability to operate with high autonomy, manage ambiguity effectively, and move seamlessly between long-term strategy and day-to-day execution.
Compensation and Benefits
Superhuman offers all team members competitive pay along with a benefits package encompassing the following and more:
  • Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
  • Disability and life insurance options
  • 401(k) and RRSP matching
  • Paid parental leave
  • 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
  • Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
  • Annual professional development budget and opportunities

Superhuman takes a market-based approach to compensation so that base pay may vary by location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.
Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position, by compensation zone, are outlined below and may be modified in the future.
We encourage you to apply
At Superhuman, we value our differences and encourage everyone to apply-especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).