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Remote Data Science Intern Jobs in Anaheim, CA (NOW HIRING)

Kia America

Data Scientist - Business Analytics & ML

Irvine, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Kia's Big Data Analysis team leverages vast and diverse datasets to drive business improvements and ... The role requires expertise in statistics, machine learning, and computer science to utilize high ...

Tubi

Data Scientist, Growth Analytics

Los Angeles, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are looking for a problem solver who thrives at the intersection of data science, growth strategy, and AI-powered automation. You'll focus on diving deep into data, creating scalable data ...

The Wonderful Company

Data Scientist, Modeler

Los Angeles, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This role combines traditional data science (forecasting, LTV modeling, experimentation validation) with emerging AI capabilities to unlock new efficiencies and insights. A key aspect of this role is ...

The Wonderful Company

Data Scientist, Modeler

Los Angeles, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This role combines traditional data science (forecasting, LTV modeling, experimentation validation) with emerging AI capabilities to unlock new efficiencies and insights. A key aspect of this role is ...

The Wonderful Company

Data Scientist, Modeler

Los Angeles, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This role combines traditional data science (forecasting, LTV modeling, experimentation validation) with emerging AI capabilities to unlock new efficiencies and insights. A key aspect of this role is ...

Teleflora

Data Scientist, Modeler

Los Angeles, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This role combines traditional data science (forecasting, LTV modeling, experimentation validation) with emerging AI capabilities to unlock new efficiencies and insights. A key aspect of this role is ...

iHerb, LLC

Pricing Data Scientist

Irvine, CA · On-site +1

Strong applied quantitative background with demonstrated experience designing, building, and deploying Python-based data science models, including production workflows, to inform pricing, promotions ...

iHerb.com

Pricing Data Scientist

Irvine, CA · On-site +1

Strong applied quantitative background with demonstrated experience designing, building, and deploying Python-based data science models, including production workflows, to inform pricing, promotions ...

Our National Conversation

Grant Writing Intern

Los Angeles, CA · On-site +1

$16.25 - $21.50/hr

This position is remote, with work primarily conducted over Zoom and Slack, so applicants must be ... Experience with data-keeping preferred * Satisfactory organization skills * Ability to keep ...

iHerb, LLC

Pricing Data Scientist

Irvine, CA · On-site +1

$198K/yr

Strong applied quantitative background with demonstrated experience designing, building, and deploying Python-based data science models, including production workflows, to inform pricing, promotions ...

Pivotal Health

Staff Data Scientist

Los Angeles, CA · Remote

$200K - $230K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

This role is for someone with a strong applied data science or optimization background who wants to ... Remote and hybrid flexibility varies by role and team, and is outlined in each . If you're excited ...

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All JobsData Science Intern JobsRemote Data Science Intern JobsRemote Data Science Intern Jobs in Anaheim, CA

Remote Data Science Intern information

See Anaheim, CA salary details

$12

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$44

How much do remote data science intern jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for remote data science intern in Anaheim, CA is $23.56, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $25.67 per hour, depending on experience, location, and employer.

What is a remote data science intern?

A Remote Data Science Intern is a student or recent graduate who works with a company or organization on data science projects while working from a location outside the main office, typically from home. Their tasks often include analyzing large datasets, creating data visualizations, building statistical models, and supporting the team with data-driven insights. Remote internships offer flexibility and allow interns to gain real-world experience in data science while collaborating with teams using digital communication and project management tools. This type of internship helps interns build valuable technical and soft skills that are essential in the evolving data science field.

What types of projects does a remote data science intern typically work on, and how do they collaborate with their team?

Remote Data Science Interns often work on projects such as data cleaning, exploratory data analysis, building predictive models, or developing data visualizations. Collaboration typically occurs through virtual meetings, shared code repositories, and project management tools, allowing interns to interact regularly with data scientists, engineers, and business analysts. Interns are usually assigned a mentor or supervisor who provides guidance and feedback, helping them align their work with team objectives. This setup not only enhances technical growth but also fosters communication and teamwork skills essential for future roles.

What is the difference between Remote Data Science Intern vs Remote Data Analyst?

AspectRemote Data Science InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools
Work EnvironmentInternship programs, often part-time or project-based, with mentorshipFull-time or part-time remote roles, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech companies, startups, and research institutions for entry-level talentCommon across finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Remote Data Science Intern and a Remote Data Analyst lies in experience and scope. Interns are typically students or recent graduates gaining hands-on experience, while Data Analysts are more experienced professionals focused on analyzing and interpreting data to support business decisions. Both roles often work remotely and require familiarity with data tools, but their responsibilities and career stages differ.

What are the key skills and qualifications needed to thrive as a remote data science intern, and why are they important?

To thrive as a Remote Data Science Intern, you need a solid background in statistics, programming (Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL databases, and version control systems such as Git is often expected. Strong problem-solving abilities, self-motivation, and clear communication skills help you collaborate effectively and manage tasks independently in a remote setting. These skills ensure you can analyze data accurately, contribute to team projects, and adapt to the demands of remote work environments.

What are popular job titles related to Remote Data Science Intern jobs in Anaheim, CA?

For Remote Data Science Intern jobs in Anaheim, CA, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Intern jobs in Anaheim, CA look for?

The top searched job categories for Remote Data Science Intern jobs in Anaheim, CA are:

What cities near Anaheim, CA are hiring for Remote Data Science Intern jobs?

Cities near Anaheim, CA with the most Remote Data Science Intern job openings:

Remote Data Science Intern jobs near you
Infographic showing various Remote Data Science Intern job openings in Anaheim, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $49,005 per year, or $23.6 per hour.

Data Scientist - Business Analytics & ML

Kia America

Irvine, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 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 using data and machine learning to answer complex business questions, build analytical and predictive models, and translate results into clear insights and recommendations for stakeholders. The role goes beyond reporting by framing problems, designing analyses, and influencing decisions.

Essential Duties and Responsibilities

1st Priority - 30%

Business Problem Framing, Data Wrangling & Analysis  

  • Assess the accuracy of new data sources
  • Understand business processes and decision frameworks, and translate them into data-driven metrics and KPIs. 
  • Preprocess structured and unstructured data
  • Analyze large amounts of data to discover trends and patterns
  • Build prediction and classification models
  • Coordinate with different functional teams for feature engineering
  • Partner with business stakeholders to frame problems, define success metrics, and translate business questions into analytical approaches

2nd Priority - 30%

Insight Generation, Visualization & Model Improvement

  • Test and continuously improve the accuracy of statistical and machine learning models
  • Present insights in a way that clearly ties analysis to business decisions and actions 
  • Frame and communicate complex analyses in business-relevant terms that non-technical stakeholders can understand and act on
  • Continuously monitor and validate production analysis results

3rd Priority - 20%

Collaborate with IT Team to deploy analysis results

  • Build REST APIs for data and analysis result consumption
  • Assist the IT system developers to deploy analysis as a service

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 versioning

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

Qualifications/Education

Education:

  • Bachelor's degree in a quantitative field required (e.g., Data Science, Statistics, Computer Science, Engineering, Economics, Mathematics, Business Analytics, or related field)
  • Master's degree in a quantitative field preferred
     
Job Requirement
  • 3+ years of experience in data science preferred.
  • Strong data analysis and statistical foundations required.
  • Proficiency in Python and SQL required.
  • Familiarity with applied machine learning concepts required.
  • Strong business acumen and ability to coordinate between technical teams and non-technical business stakeholders.
  • Experience querying databases and using programming languages such as Python and SQL
  • Experience using statistics and machine learning algorithms
  • 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 of a variety of machine learning techniques, deep learning a plus
  • Knowledge of advanced statistical techniques
  • 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 big data processing tools such as Spark (e.g., PySpark); experience with Hadoop ecosystem or cloud platforms preferred
  • Experience with deep learning frameworks such as PyTorch and TensorFlow 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.

Kia America logo

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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