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Entry Level Behavioral Data Science Jobs in California

Replit

Data Scientist

Foster City, CA · On-site

$150K - $250K/yr

Strong SQL skills and experience with large-scale event-level user behavior data; experience designing ETL workflows using dbt * Proficiency in Python and data science libraries (pandas, scikit-learn ...

Faire

Data Science Intern

San Francisco, CA

$75/hr

Our Data Science team builds and maintains the algorithmic systems - spanning search ... behavior modeling), bandit and reinforcement learning methods, and large-scale retrieval and ...

Centerfield

Data Science Intern

Los Angeles, CA · On-site

Analyze call transcripts and help build and refine rules that extract behavioral and intent signals ... Data Science, or a related quantitative field. * Programming: Solid foundation in Python and ...

NextDeavor Inc.

Data Scientist

San Francisco, CA · On-site

$90.14 - $112.68/hr

Apply quantitative analysis and statistical modeling to uncover customer behavior and trends * Act ... Develop and deploy data science models to drive scalable, programmatic business solutions

OpenArt

Data Scientist

San Francisco, CA · On-site

$300K - $400K/yr

... science practice. * Direct impact on product strategy - your work shapes what we build, how we ... User and behavioral analysis: deep-dive into how users create, share, and engage on OpenArt to ...

OpenArt AI

Data Scientist

San Francisco, CA · On-site +1

... data science practice. * Direct impact on product strategy -- your work shapes what we build, how ... User and behavioral analysis: deep-dive into how users create, share, and engage on OpenArt to ...

Fanatics Collectibles

Data Scientist

Los Angeles, CA · On-site

This role is ideal for someone early in their data science career who is eager to expand their ... Familiarity with behavioral analytics platforms such as Mixpanel, Amplitude, or Google Analytics.

Embedding VC

Data Scientist

Redwood City, CA · On-site +1

... data science practice. * Direct impact on product strategy -- your work shapes what we build, how ... User and behavioral analysis : deep-dive into how users create, share, and engage on OpenArt to ...

Embedding VC

Data Scientist

Redwood City, CA · On-site

... science practice. * Direct impact on product strategy - your work shapes what we build, how we ... User and behavioral analysis : deep-dive into how users create, share, and engage on OpenArt to ...

Fanatics Collectibles

Data Scientist

Los Angeles, CA · On-site

This role is ideal for someone early in their data science career who is eager to expand their ... Familiarity with behavioral analytics platforms such as Mixpanel, Amplitude, or Google Analytics.

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All JobsBehavioral Data Science JobsEntry Level Behavioral Data Science JobsEntry Level Behavioral Data Science Jobs in California

Entry Level Behavioral Data Science information

What is the difference between Entry Level Behavioral Data Science vs Entry Level Data Analyst?

AspectEntry Level Behavioral Data ScienceEntry Level Data Analyst
Required CredentialsBachelor's in Psychology, Data Science, or related fields; basic knowledge of statistics and programmingBachelor's in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentResearch settings, tech companies, or consulting firms focusing on human behavior analysisBusiness environments, marketing firms, or finance departments analyzing data trends
Employer & Industry UsageOrganizations studying consumer behavior, user experience, or social sciencesCompanies seeking to interpret data for decision-making, reporting, and operational insights

Entry Level Behavioral Data Science focuses on understanding human behavior through data, often requiring knowledge of psychology and statistics. Entry Level Data Analysts primarily interpret and visualize data to support business decisions. While both roles require analytical skills, behavioral data science emphasizes behavioral insights, whereas data analysts focus on data reporting and visualization.

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 are popular job titles related to Entry Level Behavioral Data Science jobs in California? For Entry Level Behavioral Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Behavioral Data Science jobs in California look for? The top searched job categories for Entry Level Behavioral Data Science jobs in California are:
What cities in California are hiring for Entry Level Behavioral Data Science jobs? Cities in California with the most Entry Level Behavioral Data Science job openings:
Entry Level Behavioral Data Science jobs near you
Data Scientist

Data Scientist

Replit

Foster City, CA • On-site

$150K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 15 days ago

Job description

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
About the Role
Replit is redefining how software is built and who gets to build it. Our mission is Autonomy for All - making programming accessible, collaborative, and powered by AI.
This role owns how Replit understands its customers across every touchpoint. You'll build the analytics and intelligence layer that spans marketing performance, customer signals, and support - turning massive volumes of behavioral data, feedback, and interaction signals into insights that drive growth, retention, and revenue.
This isn't a traditional marketing analytics seat. You'll work across paid and organic channels, lifecycle marketing, customer feedback, social signals, and support data - and you'll use AI to do it at a scale that would be impossible manually. You'll build agents and automated systems that deliver insights directly to the teams that need them, not just dashboards that sit untouched.
You will:
  • Design and analyze marketing experiments across paid, lifecycle, and content channels; optimize CAC, LTV, and ROAS
  • Build multi-touch attribution and marketing mix models to understand what's driving growth
  • Synthesize customer signals - support tickets, social, reviews, CSAT - into automated intelligence that reaches the teams who need it
  • Build churn and retention models to identify at-risk users and inform lifecycle intervention strategies
  • Define and maintain customer segmentations and personas that drive targeting, messaging, and product decisions
  • Build the analytical foundation for Voice of the Customer - connecting qualitative feedback signals to quantitative behavior data at scale
  • Detect emerging product issues and bugs faster by surfacing support signal early enough to shape engineering priorities
  • Optimize automation and deflection to reduce support load and improve self-serve resolution rates
  • Build the measurement foundation to fully optimize ROI across all support activities
  • Use LLMs and agentic workflows to analyze unstructured data at scale and automate recurring analysis
  • Create automated reporting that put key metrics to inform the company
Required Skills and Experience
  • 6+ years of experience in data science with a focus on marketing, growth, or customer analytics
  • Strong SQL skills and experience with large-scale event-level user behavior data; experience designing ETL workflows using dbt
  • Proficiency in Python and data science libraries (pandas, scikit-learn, statsmodels, etc.)
  • Experience designing and analyzing A/B tests with statistical rigor (sample sizing, significance testing, causal inference)
  • Experience building dashboards and visualizations (Hex, Looker, Tableau, Mode, or similar) -> ideally automating them.
  • Demonstrated experience using LLMs/AI tools in analytics workflows - not just prompting, but building automated systems
  • Track record of partnering cross-functionally with Marketing, Product, Engineering, Support, and Revenue/Sales teams - not just serving a single stakeholder
Preferred Qualifications
  • Experience with modern data stack (dbt, BigQuery, Snowflake, Fivetran, Segment, etc.)
  • Background in growth analytics, marketing analytics, or conversion rate optimization at a SaaS or PLG company
  • Experience with marketing technology platforms (Google Analytics, Segment, Iterable, Salesforde)
  • Experience with attribution modeling, marketing mix modeling, or incrementality testing
  • Experience analyzing unstructured customer data (support tickets, reviews, social mentions) using NLP or LLM-based approaches
  • Understanding of PLG motions and self-serve conversion funnels
  • Experience with support analytics, CSAT analysis, or customer experience measurement
Bonus Points
  • Experience analyzing freemium or usage-based pricing models
  • Understanding of developer tools, collaborative coding environments, or technical products
  • Experience with causal inference methods (difference-in-differences, synthetic control, propensity score matching)
  • Experience building AI agents or automated analytical pipelines using LLM APIs

This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.
Full-Time Employee Benefits Include:
Competitive Salary & Equity
401(k) Program with a 4% match (US Only)
Health, Dental, Vision and Life Insurance
Short Term and Long Term Disability
Paid Parental, Medical, Caregiver Leave
Flexible Time Off (FTO) + Holidays
Commuter Benefits (In-Office Only)
Monthly Wellness Stipend
Autonomous Work Environment
In Office Set-Up Reimbursement (In-Office Only)
Quarterly Team Gatherings
In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
  • Meet the Replit Agent
  • Replit: Make an app for that
  • Replit Blog
  • Amjad TED Talk

Interviewing + Culture at Replit
  • Operating Principles
  • Reasons not to work at Replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Apply