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Remote Data Scientist Deep Learning Jobs in Riverside, CA

Kia America, Inc.

Data Scientist- Applied AI

Irvine, CA · On-site +1

Status Exempt General Summary The Data Scientist plays an important role in executing data analysis ... Experience using statistics and machine learning algorithms (deep learning a plus) * Experience ...

Kia America

Data Scientist- Applied AI

Irvine, CA · On-site +1

Status Exempt General Summary The Data Scientist plays an important role in executing data analysis ... Experience using statistics and machine learning algorithms (deep learning a plus) * Experience ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Design, build, train, and deploy machine learning models and data products for enterprise use

Corvel

Data Scientist II

Irvine, CA · On-site +1

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Design, build, train, and deploy machine learning models and data products for enterprise use

Corvel

Data Science Manager

Irvine, CA · On-site +1

This individual has expertise in machine learning, statistical modeling, and data visualization to ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build ...

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All JobsData Scientist Deep Learning JobsRemote Data Scientist Deep Learning JobsRemote Data Scientist Deep Learning Jobs in Riverside, CA

Remote Data Scientist Deep Learning information

See Riverside, CA salary details

$39.1K

$128K

$205K

How much do remote data scientist deep learning jobs pay per year?

As of Jun 14, 2026, the average yearly pay for remote data scientist deep learning 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 specializing in Deep Learning, and why are they important?

To thrive as a Remote Data Scientist specializing in Deep Learning, you need a strong background in mathematics, statistics, programming (especially Python), and experience with deep learning frameworks such as TensorFlow or PyTorch, often supported by a relevant degree. Familiarity with cloud platforms (e.g., AWS, GCP), version control systems like Git, and certifications in machine learning are highly beneficial. Strong analytical thinking, problem-solving abilities, and effective remote communication skills help you stand out in this position. These skills and qualities are essential for designing robust models, collaborating with distributed teams, and delivering impactful AI solutions.

How do Remote Data Scientists specializing in Deep Learning typically collaborate with cross-functional teams?

Remote Data Scientists in Deep Learning often work closely with software engineers, product managers, and domain experts through virtual meetings, shared documentation, and version-controlled code repositories. They collaborate on defining project goals, sharing model insights, and integrating machine learning solutions into products. Effective communication and clear documentation are crucial, as team members may be in different time zones or have varying technical backgrounds. Tools like Slack, JIRA, and GitHub are commonly used to streamline collaboration and track progress.

What are remote data scientists specializing in deep learning?

Remote data scientists specializing in deep learning are professionals who use advanced machine learning techniques, particularly deep neural networks, to analyze large amounts of data and extract meaningful insights. They work from remote locations, leveraging digital tools to build, train, and deploy deep learning models for tasks such as image recognition, natural language processing, and predictive analytics. These experts collaborate with other team members virtually, contributing to projects in industries like healthcare, finance, and technology without needing to be physically present in an office.
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Remote Data Scientist Deep Learning jobs near you

Data Scientist- Applied AI

Kia America, Inc.

Irvine, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

At Kia, we’re creating award-winning products and redefining what value means in the automotive industry. It takes a special group of individuals to do what we do, and we do it together. Our culture is fast-paced, collaborative, and innovative. Our people thrive on thinking differently and challenging the status quo. We are creating something special here, a culture of learning and opportunity, where you can help Kia achieve big things and most importantly, feel passionate and connected to your work every day.

Kia provides team members with competitive benefits including premium paid medical, dental and vision coverage for you and your dependents, 401(k) plan matching of 100% up to 6% of the salary deferral, and paid time off. Kia also offers company lease and purchase programs, company-wide holiday shutdown, paid volunteer hours, and premium lifestyle amenities at our corporate campus in Irvine, California.
Status

Exempt 

General Summary

The Data Scientist plays an important role in executing data analysis for Kia North America’s regional subsidiaries (KUS/KCA/KaGA/KMX). Kia’s Big Data Analysis team leverages vast and diverse datasets to drive business improvements and insights. The role requires expertise in statistics, machine learning, and computer science to utilize high-performance compute clusters and perform reproducible analyses at scale. This position supports the application of data, analytics, automation, and responsible AI to advance Kia’s business operations.


This role focuses on applying data science and AI techniques to analyze text and other unstructured data, build models, and generate insights that support business decisions. The role contributes to developing new AI- and data-driven products, capabilities, and analytical assets, treating data and models as products that can be used and scaled across the business.

Essential Duties and Responsibilities

1st Priority - 30%

Data Processing and Modeling 

  • Assess the accuracy of new data sources
  • Understand the relationship between data sources and downstream use cases
  • Preprocess structured and unstructured data
  • Analyze large amounts of data to discover trends and patterns
  • Build, train, and evaluate machine learning and AI models, including modern NLP and GenAI approaches where appropriate.
  • Coordinate with cross-functional teams for feature engineering and data integration 

2nd Priority - 30%

Model Evaluation, Iteration, and Insight Communication

  • Test and continuously improve the accuracy of statistical and machine learning models
  • Present information using Python notebooks and/or dashboards
  • Explain model behavior and performance in an intuitive manner to technical and non-technical audiences
  • Continuously monitor and validate production model performance
  • Treat models and analytical outputs as reusable products or services with clear ownership and quality standards

3rd Priority - 20%

Collaborate with IT on model deployment and MLOps setup 

  • Build or contribute to REST APIs for model inference and result consumption
  • Partner with IT system developers on model deployment and MLOps best practices to ensure production readiness

4th Priority - 20%

Clear documentation, source code management, and reproducible analysis

  • Use git within GitLab
  • Create virtual environments to isolate project dependencies and requirements
  • Track model performance and hyperparameter configurations
  • Track data and model versioning

This list of essential responsibilities and duties is not exhaustive and may be supplemented and changed as necessary by management.

Qualifications/Education
  • Bachelor’s degree in a technical or quantitative field required (e.g., Computer Science, Engineering, Mathematics, Statistics, or related field)
  • Master’s degree in analytics, data science, or computer science preferred
Job Requirement
  • 3+ years of experience in data science preferred.
  • Strong foundation in machine learning required.
  • Strong Python and SQL skills required.
  • Hands-on experience building AI-powered features or products (e.g., NLP pipelines, GenAI features, AI agents); strong interest in continuous learning expected.
  • Familiarity with MLOps concepts (model versioning, deployment workflows, monitoring) preferred.
  • Ability to manage projects end-to-end and collaborate across technical and non-technical teams.
  • Experience querying databases and using programming languages such as Python and SQL
  • Experience using statistics and machine learning algorithms (deep learning a plus)
  • Experience with big data processing frameworks such as Spark (e.g., PySpark); experience with Hadoop ecosystem or cloud platforms (e.g., Databricks, AWS) preferred
  • Experience publishing results to stakeholders through dashboards (e.g. Power BI, MicroStrategy, Tableau)
Specialized Skills and Knowledge Required
  • Proficiency in Python and SQL
  • Knowledge and experience with NLP and related applied AI techniques (e.g., embeddings, retrieval, GenAI workflows)
  • Experience with common Python libraries for data analysis such as Pandas and NumPy
  • Experience with visualization libraries such as Matplotlib, Seaborn, Plotly, Bokeh and plotnine
  • Experience developing and evaluating statistical and machine learning models using libraries such as statsmodels and scikit-learn
  • Experience with deep learning frameworks such as PyTorch and TensorFlow preferred
  • Experience with big data processing tools such as Spark (e.g., PySpark); experience with Hadoop ecosystem or cloud platforms preferred
  • Strong data-driven problem-solving skills
  • Excellent written and verbal communication skills to coordinate across teams

Competencies

  • Care for People
  • Chase Excellence Every Day
  • Dare to Push Boundaries
  • Empower People to Act
  • Move Further Together

Pay Range

$89,936 - $121,409

Pay will be based on several variables that are unique to each candidate, including but not limited to, job-related skills, experience, relevant education or training, etc.

Equal Employment Opportunities

KUS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, ancestry, national origin, sex, including pregnancy and childbirth and related medical conditions, gender, gender identity, gender expression, age, legally protected physical disability or mental disability, legally protected medical condition, marital status, sexual orientation, family care or medical leave status, protected veteran or military status, genetic information or any other characteristic protected by applicable law.  KUS complies with applicable law governing non-discrimination in employment in every location in which KUS has offices.  The KUS EEO policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination and all other privileges, terms and conditions of employment.

Disclaimer:  The above information on this job description has been designed to indicate the general nature and level of work performed by employees within this classification and for this position.  It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

About Kia America

Sourced by ZipRecruiter

Industry

Motor vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Irvine, CA, US

Year founded

1994

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