ZipRecruiter

Log In

2

Remote Data Scientist Finance Jobs in Riverside, CA

Promoted2

Remote Insurance Agent

Riverside, CA · Remote

$60K - $110K/yr

About the Company We're a national financial services organization helping families achieve ... with applicable data protection laws. (US only) 1099=independent contractor, not employee.

Promoted2

Remote Insurance Agent

Anaheim, CA · Remote

$60K - $110K/yr

About the Company We're a national financial services organization helping families achieve ... with applicable data protection laws. (US only) 1099=independent contractor, not employee.

Workiva

Spring 2027 Intern - Data Analytics

Pomona, CA · On-site +1

$22/hr

This internship is primarily a remote opportunity. However, if you are located near one of our ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

Collectorsuniverse

Head of Fraud Operations

Santa Ana, CA · On-site +1

$139K - $200K/yr

For remote roles, and at our discretion, candidates may be asked to participate in an on-site ... Data Science on models; and builds the team, tooling, SLAs, and metrics that hold fraud losses down ...

previous pagenext page

Showing results 21-40

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 Sep 14, 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 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.

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 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.

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

Generative AI Automation Engineer - Remote Job

Pomona, CA • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 24 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply