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Remote Behavioral Data Scientist Jobs in California

Teleflora

Data Scientist, Modeler

Los Angeles, CA · On-site +1

The Data Scientist will also support A/B testing by validating results, while not owning test ... Customer behavior and conversion drivers * Leverage GCP/BigQuery for large-scale data analysis

psudo

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights ... Science), preferably with work experience of over 2-3 years (open to talk to freshers as well)

YO AI Labs

AI Data Science Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

YO AI Labs

AI Data Science Expert - Remote

Los Angeles, CA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

YO AI Labs

AI Data Science Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Tempus

Data Scientist II, Outcomes Research

Redwood City, CA · On-site +1

$100K - $150K/yr

We are seeking a highly motivated and capable Sr. Data Scientist with extensive experience in the ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Pinterest

Sr. Data Scientist, tvScientific

San Francisco, CA · On-site +1

$139K - $287K/yr

We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive ... Visit our PinFlex page to learn more about our working model. #LI-SM4 #LI-REMOTE At Pinterest we ...

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Remote Behavioral Data Scientist information

What is a remote behavioral data scientist?

A Remote Behavioral Data Scientist is a professional who analyzes large sets of behavioral data to uncover patterns, trends, and insights about how people act and make decisions. This role is performed remotely, allowing the scientist to work from any location using digital tools to collaborate with teams. They often use statistical modeling, machine learning, and data visualization to interpret user behavior, drive business strategies, and improve products or services. Their work helps organizations better understand customer needs and optimize user experiences based on data-driven evidence.

What are the key skills and qualifications needed to thrive as a remote behavioral data scientist?

To thrive as a Remote Behavioral Data Scientist, you need a solid background in statistics, machine learning, data analysis, and behavioral science, often supported by an advanced degree in a related field. Familiarity with programming languages like Python or R, data visualization tools, and experience with cloud-based data platforms are typically required. Strong communication, problem-solving abilities, and self-motivation are crucial soft skills for remote collaboration and translating behavioral insights to stakeholders. These skills and qualities are essential for effectively analyzing complex data, delivering actionable insights, and succeeding in a remote, interdisciplinary environment.

How does a remote behavioral data scientist typically collaborate with cross-functional teams despite working remotely?

Remote Behavioral Data Scientists frequently collaborate with product managers, engineers, UX researchers, and other analysts through virtual meetings and shared digital workspaces. Regular communication using project management tools, video conferencing, and collaborative coding platforms ensures alignment on project goals and data insights. Proactive scheduling and clear documentation are vital for overcoming time zone differences and maintaining project momentum. This remote structure encourages autonomy but requires strong self-management and communication skills to be effective.

What is the difference between Remote Behavioral Data Scientist vs Remote Data Analyst?

AspectRemote Behavioral Data ScientistRemote Data Analyst
Required CredentialsMaster's or PhD in Data Science, Psychology, or related fields; experience with statistical modeling and behavioral analysisBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data visualization and basic analysis
Work EnvironmentCollaborates with behavioral scientists, product teams, and research departments in tech or healthcare industriesSupports business decision-making across various industries, often in corporate or consulting settings
Employer & Industry UsageUsed in tech, healthcare, and research organizations focusing on user behavior and psychological insightsCommon in finance, marketing, and business intelligence sectors for data reporting and insights

The Remote Behavioral Data Scientist specializes in analyzing behavioral data to understand human actions, often requiring advanced statistical and psychological expertise. In contrast, the Remote Data Analyst focuses on interpreting data to support business decisions, typically with less emphasis on behavioral theories. Both roles involve data handling but serve different strategic purposes within organizations.

What are the most commonly searched types of Behavioral Data Scientist jobs in California?

The most popular types of Behavioral Data Scientist jobs in California are:

What are popular job titles related to Remote Behavioral Data Scientist jobs in California?

For Remote Behavioral Data Scientist jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Behavioral Data Scientist jobs in California look for?

The top searched job categories for Remote Behavioral Data Scientist jobs in California are:

What cities in California are hiring for Remote Behavioral Data Scientist jobs?

Cities in California with the most Remote Behavioral Data Scientist job openings:

Remote Behavioral Data Scientist jobs near you

Senior Data Scientist - Document Verification

Socure

San Francisco, CA • On-site, Remote

$191K - $230K/yr

Full-time

Posted 24 days ago

Key responsibilities

  • Design, develop, and improve machine learning models for document verification, fraud detection, image quality assessment, and biometric verification.

  • Analyze product performance, fraud trends, and customer behavior to evaluate and monitor model effectiveness and operational metrics.

  • Build tools and automation for model evaluation, performance monitoring, labeling workflows, and fraud investigations.

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.
Senior Data Scientist - Document Verification
Summary
We are seeking a highly technical Senior Data Scientist to drive machine learning innovation for Socure's Document Verification (DocV) platform. This role combines model development, product analytics, model evaluation, and ML tooling to improve fraud detection, customer experience, and operational efficiency. You will partner closely with Product, Engineering, Fraud Operations, and Data Science to build production ML models, generate actionable insights, and develop scalable evaluation and automation frameworks.
Responsibilities
Machine Learning & Model Development
  • Design, develop, and improve ML models for document verification, fraud detection, image quality assessment, biometric verification, and related use cases.
  • Research new features, modeling approaches, and fraud detection techniques to improve production performance.
  • Partner with Engineering to deploy, monitor, and continuously improve production models.
Analytics & Model Evaluation
  • Analyze product performance, fraud trends, customer behavior, and emerging attack vectors.
  • Design and execute model evaluations using offline and production datasets, measuring precision, recall, FAR/FRR, and business impact.
  • Develop dashboards and KPIs to monitor model health, product performance, and operational metrics.
Tooling & Automation
  • Build tools and automation for model evaluation, performance monitoring, labeling workflows, and fraud investigations.
  • Develop self-service analytics and experimentation frameworks.
  • Improve analytics infrastructure supporting model development and monitoring.
Cross-functional Collaboration
  • Partner with Product, Engineering, Fraud Operations, and Solutions Engineering to translate business needs into data-driven solutions.
  • Communicate technical findings and influence product and modeling decisions.
Qualifications
Required
  • MS/PhD (or equivalent experience) in Computer Science, Statistics, Data Science, or a related field.
  • 5+ years of experience in machine learning, data science, fraud analytics, or product analytics.
  • Strong experience developing and evaluating production ML models.
  • Expert SQL and Python skills.
  • Experience with Databricks, Spark, AWS Sagemaker, or similar platforms.
  • Strong understanding of experimentation, statistical analysis, and ML evaluation.
Preferred
  • Experience with computer vision, deep learning, or transformer-based models.
  • Experience designing and analyzing A/B tests, online experiments, and statistical evaluations of product or machine learning performance.
  • Experience defining product KPIs and building dashboards to monitor product performance, customer behavior, and operational metrics.

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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