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Remote Data Scientist Risk Jobs in Los Angeles, CA

Perfict Global, Inc.

Data Scientist

Pasadena, CA · Remote

Client Healthcare Position Data Scientist Location Pasadena, CA - candidates must be local - primarily remote - occasional meeting onsite Duration Contract to 12/2025; extensions likely Pay Rate $5 ...

Fox

Data Scientist Remote

Los Angeles, CA · On-site +1

$146.68K - $161.35K/yr

As part of the Data Engineering team, Fox Cable Network Services, LLC seeks a Data Scientist (MLOps Engineer) to focus on deploying, managing, and scaling machine learning models within Fox's AWS and ...

Kandu Health

Neuro Data Scientist

Van Nuys, CA · On-site +1

$180K - $200K/yr

... risk adjustment, and longitudinal follow-up; integrate/link device data with external sources (EHR ... Scientific Writing & Publication Leadership - Strong scientific writing capability with first ...

eSolutions

Data Scientist

Santa Clarita, CA · Remote

Data Scientist Duration of Project: 12+ month Location ... Remote, but working CST hours (client is located in Wisconsin) TOP SKILLS: * CPG ( Consumer ...

RIT Solutions, Inc.

Sr. Data Scientist

El Segundo, CA · On-site +1

$65/hr

Interview:- remote QUESTIONS THAT NEED TO BE ANSWERED BY CANDIDATE: Submission summaries need to address the "Must Haves" and "Nice To Have" * The Data Scientist to derive insights from the vast ...

RIT Solutions

Sr. Data Scientist

El Segundo, CA · On-site +1

$65/hr

Interview: remote Questions that need to be answered by candidate: Submission summaries need to address the "Must Haves" and "Nice To Have" The data scientist will derive insights from the vast ...

KORE1 Technologies

Principal Data Scientist

Duarte, CA · Remote

KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Data Scientist that is fully remote. Professional Summary: The Principal Data Scientist will drive ...

KORE1 Technologies

Principal Data Scientist

Duarte, CA · Remote

KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Data Scientist that is fully remote. Professional Summary: The Principal Data Scientist will drive ...

INSPYR Solutions

Senior Data Scientist

Los Angeles, CA · On-site +1

$106.31 - $132.31/hr

Remote (US/PST) Duration: 12+ months long term project Compensation: $106.31 - 132.31/hr. Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. As a Data Scientist III ...

Carnaby Fox

Staff Data Scientist

Los Angeles, CA · On-site +1

$260K/yr

Hybrid Arlington VA or remote (Boston/Bay Area/San Diego/Los Angeles) Role Purpose Turn large-scale sensor data into actionable insights and create feedback loops for edge AI systems. Key ...

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Remote Data Scientist Risk information

See Los Angeles, CA salary details

$40.4K

$132.3K

$211.7K

How much do remote data scientist risk jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data scientist risk in Los Angeles, CA is $132,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $146,500.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Data Scientist Risk jobs in Los Angeles, CA? The most popular types of Data Scientist Risk jobs in Los Angeles, CA are:
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Remote Data Scientist Risk jobs near you
Infographic showing various Remote Data Scientist Risk job openings in Los Angeles, CA as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 81% Full Time, 7% Part Time, and 9% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $132,252 per year, or $63.6 per hour.
Data Scientist

Data Scientist

Cardinal Integrated Technologies Inc

Los Angeles, CA • On-site, Remote

Other

Posted 6 days ago

Job description

Hi,

Role: Data Scientist

Duration: 6-12+ Months Contract

Location California (2-3 days/week in the client's Irvine, CA office, 1 day in their downtown LA, CA office, 1 day Remote)

Must Have Skills

  • Skill 1 Data Science with AI/ML focus
  • Skill 2 Agent-based / agent-oriented workflow development
  • Skill 3 API development and system integration
  • Skill 4 LLM-enabled application development (prompt & context management, structured outputs)
  • Skill 5 Retrieval-based systems (vector search, indexing, embeddings)
  • Skill 6 AWS cloud-native development
  • Skill 7 CI/CD and environment management
  • Skill 8 Observability (logging, metrics, tracing)

Domain Experience (If any)

AI-enabled enterprise workflows, agent-based systems, retrieval-augmented applications

Client Job Description: Context & Objective

We are engaging a software engineer to support the design and delivery of agent-based, AI-enabled workflows that integrate with enterprise systems. The contractor will work closely with internal teams and business stakeholders to translate use cases into robust, scalable solutions.

Backend & Agent-Oriented Engineering

  • Build and maintain Python-based backend services supporting:

o Agent orchestration (supervisor/sub-agent patterns)

o APIs and system integrations

o Multi-step, asynchronous workflows

  • Apply strong engineering practices (testing, code quality, error handling).

AI / LLM-Enabled Application Development

  • Deliver LLM-enabled features end to end, including:

o Prompt and context management

o Structured outputs and validation

Data Engineering for Retrieval-Based Systems

  • Design and operate retrieval pipelines to support grounding and context enrichment, including:

o Vector search and similarity retrieval

o Search and indexing solutions

o Object storage for source content and embeddings

o Caching for performance and scalability

Cloud-Native Delivery

  • Deploy and operate services primarily on AWS, following best practices for:

o IAM and security

o Scalability, resiliency, and availability

o CI/CD and environment management

Integration & UX Enablement

  • Integrate with enterprise tools and services via secure APIs and gateways.
  • Support React-based front-end patterns and collaboration integrations to enable effective user experiences.

Observability & Operations

  • Implement logging, metrics, and tracing across agent workflows, model calls, and integrations.
  • Support incident diagnosis, performance tuning, and ongoing optimisation.

Working with the Business

  • Engage directly with business stakeholders to:

o Translate use cases into technical designs and acceptance criteria

o Communicate trade-offs across quality, cost, risk, and delivery timelines

Apply