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Remote Data Scientist Finance Jobs in Riverside, CA

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

We have an exciting opportunity for a Data Scientist within our data product space. This individual ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

We have an exciting opportunity for a Data Scientist within our data product space. This individual ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

IQVIA

Senior Data Team Lead (Remote)

Anaheim, CA · Remote

$86K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

IQVIA

Senior Data Team Lead (Remote)

Anaheim, CA · Remote

$86K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

NextDeavor Inc.

Principal Data Architect

Irvine, CA · Remote

$126K - $214K/yr

Principal Data Architect Full-time Remote Exclusive confidential search -- details shared with ... You will partner with product, engineering, analytics, ML, finance, risk, and customer-facing teams ...

theLender

Be Seen First

Underwriting Team Lead (REMOTE)

Lake Forest, CA · Remote

$57 - $59/hr

Utilize financial software and Excel data analysis tools to interpret complex financial data ... Remote Company Description Our Company theLender was created to make a difference. As a group of ...

Reveel

Data Engineer (Remote)

Irvine, CA · Remote

$115K - $150K/yr

Bachelor's degree in Computer Science, Computer Engineering , or a related technical field (or ... Orchestrate data workflows with Dagster * Parse and process parcel logistics data in formats such ...

Infinity Marketing

Data Analyst

Riverside, CA · Remote

REMOTE - US Residents Only  We are looking for a thorough and analytical Data Analyst to ... Work experience in a quantitative field like mathematics, statistics, computer science, economics ...

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All JobsData Scientist Finance JobsRemote Data Scientist Finance JobsRemote Data Scientist Finance Jobs in Riverside, CA

Remote Data Scientist Finance information

See Riverside, CA salary details

$39.1K

$128K

$205K

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

As of Jul 15, 2026, the average yearly pay for remote data scientist finance in Riverside, CA is $128,049.00, 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 are the key skills and qualifications needed to thrive as a Remote Data Scientist in Finance, and why are they important?

To thrive as a Remote Data Scientist in Finance, you need strong statistical analysis, programming (Python or R), and financial domain knowledge, often supported by a degree in data science, finance, or a related field. Familiarity with machine learning frameworks, SQL databases, and data visualization tools like Tableau or Power BI is typically required. Excellent problem-solving, self-motivation, and clear communication are standout soft skills for remote collaboration and translating insights to stakeholders. These skills and qualities are crucial for extracting actionable insights from complex financial data, driving informed decision-making, and succeeding in a remote work environment.

How do remote data scientists in finance typically collaborate with cross-functional teams?

Remote data scientists in finance regularly work with teams such as risk management, engineering, and business analysts using digital collaboration tools. Communication is often structured through virtual meetings, shared dashboards, and project management platforms to ensure everyone stays aligned on data-driven goals. Strong documentation practices and proactive communication are essential in a distributed environment to clarify requirements and share insights. This collaborative approach helps ensure that models and analyses are actionable and meet the needs of various stakeholders.

What does a Remote Data Scientist in Finance do?

A Remote Data Scientist in Finance analyzes large financial datasets to uncover trends, create predictive models, and support decision-making from a distance, usually working from home or another remote location. They use statistical methods, machine learning, and programming to identify insights that can help financial institutions manage risk, detect fraud, optimize investments, and improve operations. Their work often involves collaborating with other teams virtually, presenting findings, and ensuring data-driven strategies align with business goals.

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

AspectRemote Data Scientist FinanceRemote Data Analyst Finance
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; knowledge of financeBachelor's in Finance, Economics, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentAdvanced analytics, modeling, machine learning projects in financeData reporting, trend analysis, and basic visualization in finance
Employer & Industry UsageFinancial institutions, fintech companies, investment firmsBanking, investment firms, financial services

Remote Data Scientist Finance roles focus on developing predictive models and advanced analytics, requiring programming and statistical expertise. Remote Data Analysts Finance primarily handle data reporting and basic analysis. Both roles are vital in finance but differ in complexity and skill requirements.

What are popular job titles related to Remote Data Scientist Finance jobs in Riverside, CA? For Remote Data Scientist Finance jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist Finance jobs in Riverside, CA look for? The top searched job categories for Remote Data Scientist Finance jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Remote Data Scientist Finance jobs? Cities near Riverside, CA with the most Remote Data Scientist Finance job openings:
Remote Data Scientist Finance jobs near you
Data Scientist II

Data Scientist II

Corvel

Irvine, CA • On-site, Remote

$82K - $127K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

CorVel rating

7.9

Company rating: 7.9 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

85th of 148 rated financial services

Job description

We have an exciting opportunity for a Data Scientist within our data product space. This individual will be focused on designing, building, and deploying machine learning models and data products that support our enterprise initiatives. This role focuses on developing scalable, production ready solutions by translating complex business problems into data-driven approaches and model-based outputs.
Working closely with product managers, engineering teams, and business stakeholders, this position contributes to the development of data products from concept through deployment, ensuring solutions are reliable, performant, and aligned with real world use cases. The role includes hands on model development, feature engineering, and integration into production systems within cloud environments.
The ideal candidate has experience building and operationalizing machine learning models and is comfortable working with modern AI techniques, including large language models (LLMs) and retrieval-augmented generation (RAG), where applicable. Experience with platforms such as Azure, AWS, or similar ecosystems is strongly preferred.
Success in this role requires strong technical expertise, problem-solving skills, and the ability to deliver high-quality solutions within a structured development environment. This role focuses on building and deployment of production data products and is not limited to exploratory analysis or reporting.
This position is open to remote or hybrid.
ESSENTIAL FUNCTIONS & RESPONSIBILITIES:
  • Mine and analyze data from internal databases to drive optimization and improvement of product development and business strategies
  • Creating new, experimental frameworks to collect data
  • Building tools to automate data collection
  • Develop custom data models and algorithms to apply to data sets
  • Design, build, train, and deploy machine learning models and data products for enterprise use
  • Translate business and operational needs into scalable data science solutions and modeling approaches
  • Perform feature engineering, data preparation, and exploratory analysis to support model development
  • Develop and evaluate models using appropriate techniques (e.g., classification, regression, NLP, optimization)
  • Contribute to the design of data products, including model outputs, APIs, and integration into downstream systems
  • Support advanced AI use cases, including LLM-based solutions, retrieval-augmented generation (RAG), and hybrid modeling approaches where appropriate
  • Collaborate with engineering teams to integrate models into production environments using APIs, pipelines, and cloud services
  • Support deployment and lifecycle management of models within Azure Machine Learning, AWS, or similar platforms
  • Perform model validation, testing, and documentation to ensure quality and reproducibility
  • Contribute to technical design discussions and provide input on architecture and implementation strategies
  • Work within the full software development lifecycle (SDLC), including version control, testing, and release processes
  • Communicate model behavior, assumptions, and results clearly to technical and non-technical stakeholders
  • Develop A/B testing framework and test model quality
  • Passion for technology and emerging AI/ML trends
  • Additional duties as assigned

KNOWLEDGE & SKILLS:
  • Strong problem-solving skills with an emphasis on product development.
  • Strong foundation in machine learning, statistical modeling, and data science techniques
  • Experience building and deploying machine learning models in production environments
  • Familiarity with modern AI approaches, including:
    • Natural language processing (NLP)
    • Large language models (LLMs)
    • Retrieval-Augmented Generation (RAG)
    • Feature engineering and model evaluation techniques
  • Experience working with cloud platforms such as Azure, AWS, or similar ecosystems
  • Familiarity with data pipelines, APIs, and integration patterns
  • Proficiency in programming languages such as Python and database management including SQL
  • Strong problem-solving skills with the ability to structure complex problems into analytical solutions
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.), their real-world advantages/drawbacks and experience with applications
  • Excellent presentation and written/verbal communication skills

EDUCATION & EXPERIENCE:
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field; Master's preferred
  • 2-5+ years of experience in data science, machine learning, or related roles
  • Experience developing and deploying machine learning models in production environments
  • Experience with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or similar
  • Exposure to AI platforms such as Azure OpenAI, AWS Bedrock, or similar technologies preferred
  • Experience working within enterprise software environments and SDLC practices preferred

PAY RANGE:
CorVel uses a market based approach to pay and our salary ranges may vary depending on your location. Pay rates are established taking into account the following factors: federal, state, and local minimum wage requirements, the geographic location differential, job-related skills, experience, qualifications, internal employee equity, and market conditions. Our ranges may be modified at any time.
For leveled roles (I, II, III, Senior, Lead, etc.) new hires may be slotted into a different level, either up or down, based on assessment during interview process taking into consideration experience, qualifications, and overall fit for the role. The level may impact the salary range and these adjustments would be clarified during the offer process.
Pay Range: $82,574 - $127,490
A list of our benefit offerings can be found on our CorVel website: CorVel Careers | Opportunities in Risk Management
In general, our opportunities will be posted for up to 1 year from date of posting, or until we have selected candidate(s) to fulfill the opening, whichever comes first.
About CorVel
CorVel, a certified Great Place to Work® Company, is a national provider of industry-leading risk management solutions for the workers' compensation, auto, health and disability management industries. CorVel was founded in 1987 and has been publicly traded on the NASDAQ stock exchange since 1991. Our continual investment in human capital and technology enable us to deliver the most innovative and integrated solutions to our clients. We are a stable and growing company with a strong, supportive culture and plenty of career advancement opportunities. Over 4,000 people working across the United States embrace our core values of Accountability, Commitment, Excellence, Integrity and Teamwork (ACE-IT!).
A comprehensive benefits package is available for full-time regular employees and includes Medical (HDHP) w/Pharmacy, Dental, Vision, Long Term Disability, Health Savings Account, Flexible Spending Account Options, Life Insurance, Accident Insurance, Critical Illness Insurance, Pre-paid Legal Insurance, Parking and Transit FSA accounts, 401K, ROTH 401K, and paid time off.
CorVel is an Equal Opportunity Employer, drug free workplace, and complies with ADA regulations as applicable.
#LI-Remote
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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