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Entry Level Behavioral Data Science Jobs in California

OpenAI

Data Scientist, GTM

San Francisco, CA · On-site

$290K - $340K/yr

About the Team OpenAI's GTM Data Science team helps shape how our products are adopted, monetized ... Combine behavioral data with customer and field evidence, then translate the findings into crisp ...

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 ...

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 ...

eBay

Data Science - Analyst 4

San Jose, CA · On-site +1

$225K - $254K/yr

Perform deep dives and collect and analyze vast amounts of eBay transactional and user behavioral ... Master's degree, or foreign equivalent, in Data Science, Analytics, or a closely related field ...

eBay, Inc.

Data Science - Analyst 4

San Jose, CA · On-site

$225K - $254K/yr

Perform deep dives and collect and analyze vast amounts of eBay transactional and user behavioral ... Master's degree, or foreign equivalent, in Data Science, Analytics, or a closely related field ...

NextDeavor Inc.

Data Scientist

San Francisco, CA

$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

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

Paramount

Associate Data Scientist

Burbank, CA · On-site

$62K - $63K/yr

We are seeking an Associate Data Scientist for this entry-level role. You will work to support the ... user behavior throughout their subscription journey (e.g., sign-up, churn) • Build models to ...

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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:
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Entry Level Behavioral Data Science jobs near you

Data Scientist, GTM

OpenAI

San Francisco, CA • On-site

$290K - $340K/yr

Full-time

Posted 5 days ago

Job description

About the Team
OpenAI's GTM Data Science team helps shape how our products are adopted, monetized, and scaled across organizations. We work at the intersection of Product, Go-to-Market, Finance, Research, and Data, turning product usage, customer evidence, and market signals into decisions that grow durable enterprise value.
We're looking for a senior Data Scientist to own the analytical strategy for enterprise knowledge-worker adoption. As ChatGPT Work and Codex become capable of research, analysis, document creation, spreadsheets, presentations, internal knowledge synthesis, and other agentic workflows, you will help determine how these products become embedded in everyday work-not merely tried once.
About the Role
You will define how we measure activation, retained usage, workflow depth, and value across ChatGPT Work, Codex, and connected enterprise systems. You will explain why adoption succeeds or stalls and identify the product, enablement, and commercial interventions most likely to create durable usage.
This is a hands-on, zero-to-one role. You will work through imperfect telemetry, overlapping product surfaces, evolving definitions, and ambiguous business questions. You will partner closely with GTM, Product, Finance, Research, Customer Deployment, Analytics Engineering, and Data Science. Your work is successful when it changes a product, GTM, or investment decision.
In This Role, You Will
  • Define a trusted measurement framework for knowledge-worker adoption, including identity, eligible populations, activation, retained usage, penetration, workflow depth, feature adoption, and monetization.
  • Map the knowledge-worker journey from initial exposure through first successful task, repeated workflows, multi-surface usage, and durable adoption.
  • Identify which personas, functions, use cases, product capabilities, and account conditions are associated with deep and retained usage.
  • Design and evaluate experiments and quasi-experiments across onboarding, enablement, workflow templates, connectors, pilots, customer deployment support, and product launches.
  • Combine behavioral data with customer and field evidence, then translate the findings into crisp recommendations for Product, GTM, Finance, and executive audiences.
  • Operationalize successful work through durable datasets, scorecards, recurring business narratives, and decision cadences while partnering with Analytics Engineering and product teams to improve instrumentation and data quality.
You Might Thrive in This Role If You
  • Enjoy creating clarity from problems that do not yet have stable definitions, clean datasets, or a settled playbook.
  • Move comfortably between SQL, Python, metric design, experimentation, customer evidence, strategy, and executive communication.
  • Think in terms of user journeys and behavioral mechanisms-not only dashboards and aggregate metrics.
  • Can distinguish product usage from durable customer value and simulated value from realized business outcomes.
  • Proactively align stakeholders, document decisions, and surface data-quality risks before they affect important decisions.
  • Are comfortable challenging an attractive narrative when the evidence does not support it.
Qualifications
  • Significant experience in data science, product analytics, growth analytics, economics, statistics, or a related quantitative field.
  • Strong hands-on ability in SQL and Python, including experience working with large and imperfect behavioral datasets.
  • Experience defining activation, retention, engagement, funnel, or product-adoption metrics, with strong knowledge of experimentation, causal inference, cohort analysis, and segmentation.
  • Ability to translate ambiguous business questions into structured analyses, independently define the analytical direction, and bring senior stakeholders along through clear tradeoff framing.
  • Strong written and verbal communication skills, including a demonstrated ability to influence senior technical and non-technical stakeholders.
Preferred Qualifications
  • Experience with enterprise SaaS, collaboration products, AI products, developer tools, productivity software, or multi-product platforms.
  • Experience connecting product usage to revenue, expansion, customer health, enablement, or other GTM interventions.
  • Experience with identity resolution, cross-surface journeys, telemetry design, evolving product taxonomies, or qualitative customer evidence.
  • Experience helping establish a new data science area, operating model, technical roadmap, or recurring executive decision cadence.

About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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