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At Home Data Scientist Risk Jobs in Fullerton, CA

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

... risk, build higher-performing provider networks, and create a standout consumer experience in our ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

Develop risk-scoring, anomaly detection, predictive, and network analytics models using internal ... We do not offer visa sponsorship at this time. Compensation The base pay range for this position is ...

Data Scientist

Irvine, CA · On-site

$95K - $120K/yr

DATA SCIENTIST REPORTS TO: DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where ... At Boot Barn, we work together to make a positive impact on the world around us, and by working ...

DLA Piper is, at its core, bold, exceptional, collaborative and supportive. Our people are the ... Prioritizes, scopes and manages data science projects for internal stakeholders and clients.

Data Scientist

Irvine, CA · On-site

$95K - $120K/yr

DATA SCIENTIST REPORTS TO: DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where ... At Boot Barn, we work together to make a positive impact on the world around us, and by working ...

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

... risk, build higher-performing provider networks, and create a standout consumer experience in our ... At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring ...

Data Scientist II

Los Angeles, CA · On-site

$131K - $172K/yr

... risk, build higher-performing provider networks, and create a standout consumer experience in our ... At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring ...

Data Scientist

Los Angeles, CA · On-site

$100.70 - $125.90/hr

At EVgo, sustainability is not just what we do; it is who we are. We are committed to reducing ... Monthly Tech Stipend, one-time home office setup reimbursement, Volunteer time off, commuter ...

Data Scientist * Experience: 5-15 Years * Location: Glendale, USA * Job Type: Full-time Must Haves ... Adept at adapting quickly to shifting priorities in a fast-moving environment while maintaining ...

Expand risk monitoring into new areas, including cybersecurity threats and model loss-of-control or ... Strong at executive-ready communication: concise, clear, and outcome-oriented. Skilled in turning ...

New

Data Scientist

Torrance, CA · On-site

$170K - $300K/yr

Following our $1.37B Series D at a $7.87B valuation, Hadrian is rapidly expanding our manufacturing ... risk from the parts like it, before the first chip is cut. The work spans forecasting and ...

Data Scientist

Los Angeles, CA · On-site

$170K - $300K/yr

Following our $1.37B Series D at a $7.87B valuation, Hadrian is rapidly expanding our manufacturing ... risk from the parts like it, before the first chip is cut. The work spans forecasting and ...

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

The Data Scientist Supervisor leads a team of data scientists within the DHS Data & Analytics Unit ... Commitment to innovation and staying at the forefront of industry trends. PHYSICAL DEMANDS Stand:

Must Have: Python Machine Learning, data science, AWS, Statistical Modeling, Semantic Search ... Adept at adapting quickly to shifting priorities in a fast-moving environment while maintaining ...

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Showing results 1-20

At Home Data Scientist Risk information

See Fullerton, CA salary details

$39.1K

$128.1K

$205K

How much do at home data scientist risk jobs pay per year?

As of Sep 2, 2026, the average yearly pay for at home data scientist risk in Fullerton, CA is $128,052.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $141,900.00 per year, depending on experience, location, and employer.

What is the difference between At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

What are the most commonly searched types of Data Scientist Risk jobs in Fullerton, CA?

The most popular types of Data Scientist Risk jobs in Fullerton, CA are:

What are popular job titles related to At Home Data Scientist Risk jobs in Fullerton, CA?

For At Home Data Scientist Risk jobs in Fullerton, CA, the most frequently searched job titles are:

What job categories do people searching At Home Data Scientist Risk jobs in Fullerton, CA look for?

The top searched job categories for At Home Data Scientist Risk jobs in Fullerton, CA are:

What cities near Fullerton, CA are hiring for At Home Data Scientist Risk jobs?

Cities near Fullerton, CA with the most At Home Data Scientist Risk job openings:

Data Scientist II

Oscar Health

Los Angeles, CA • Hybrid

$131K - $172K/yr

Full-time

Medical, PTO

Re-posted 28 days ago


Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

263rd of 315 rated insurance


Job description

Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves - one that behaves like a doctor in the family.

About the role:

Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product.

As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you'll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions.

This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight.
You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process.

Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities:

  • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions
  • Own projects end-to-end, including problem definition, implementation, validation, and iteration
  • Deliver high-quality analytical and modeling outputs with limited manager oversight
  • Collaborate closely with data science peers and cross-functional partners across business units
  • Help ensure data science processes and outputs align with broader team strategies and roadmaps
  • Provide guidance or informal mentorship to junior data scientists or analysts when needed
  • Contribute to improving data science practices, tooling, and documentation

Requirements:

  • 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both)
  • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data
  • 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing

Bonus points:

  • Master's degree in a quantitative or technical field
  • Knowledge of or previous work experience in health care or health insurance
  • Experience mentoring or supporting junior team members
  • Experience deploying or supporting models in production environments

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