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Data Scientist Online Jobs in Riverside, CA (NOW HIRING)

Pwc

AI & GenAI Data Scientist - Manager

Irvine, CA

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in ...

AbbVie

Senior Safety Data Scientist

Irvine, CA

$124K/yr

Analyzes data to support signal assessment and contributes to ad hoc regulatory safety requests ... Degree in a Health Sciences (e.g., Pharmacy, Epidemiology, Nursing); o Bachelors + 2 years clinical ...

AbbVie

Senior Safety Data Scientist

Irvine, CA

Analyzes data to support signal assessment and contributes to ad hoc regulatory safety requests ... Degree in a Health Sciences (e.g., Pharmacy, Epidemiology, Nursing); o Bachelors + 2 years clinical ...

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Showing results 21-40

All JobsData Scientist Online JobsData Scientist Online Jobs in Riverside, CA

Data Scientist Online information

See Riverside, CA salary details

$48K

$172.2K

$254K

How much do data scientist online jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data scientist online in Riverside, CA is $172,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,300.00 and $177,400.00 per year, depending on experience, location, and employer.

What is a data scientist online?

A Data Scientist Online job is a remote position where professionals analyze and interpret complex data to help businesses make informed decisions. They use programming languages like Python or R, machine learning techniques, and statistical analysis to extract insights. These roles often involve working with large datasets, building predictive models, and visualizing data trends. Since the job is online, communication and collaboration happen through digital tools, making strong remote work skills essential.

What are some typical daily responsibilities and collaboration methods for an online data scientist?

As an online Data Scientist, your daily responsibilities often include cleaning and analyzing datasets, building predictive models, and presenting findings to stakeholders through virtual meetings and interactive dashboards. Collaboration is typically facilitated through remote communication tools like Slack, Zoom, and cloud-based project platforms, allowing you to work seamlessly with team members across different locations and time zones. You may also participate in code reviews, contribute to shared repositories, and join agile stand-up meetings to ensure alignment on project goals. This structure enables flexible work while maintaining a high level of team coordination and project accountability.

What are the key skills and qualifications needed to thrive in the data scientist online position, and why are they important?

To thrive as a Data Scientist Online, you need a solid foundation in statistics, data analysis, and programming, typically supported by a degree in computer science, mathematics, or a related field. Experience with tools such as Python, R, SQL, and cloud-based data analytics platforms, as well as certifications like AWS Certified Data Analytics or Google Data Engineer, are highly valued. Strong communication, problem-solving, and self-motivation are crucial soft skills for remote collaboration and conveying complex insights to stakeholders. These abilities are essential for effectively driving data-driven decision-making while working independently in a virtual or distributed environment.

Can I become a data scientist online?

Yes, aspiring data scientists can pursue online education through degree programs, certifications, and courses in data analysis, machine learning, and programming languages like Python or R. Many online platforms also offer practical projects and tools to develop relevant skills for remote or flexible work environments.

Can I work remotely as a data scientist?

Data scientists often have the option to work remotely, especially when their role involves analyzing data, developing models, and using tools like Python, R, or SQL. Many companies offer remote positions for data scientists, provided they have strong communication skills and access to necessary data and computing resources.

What are the most commonly searched types of Data Scientist jobs in Riverside, CA?

The most popular types of Data Scientist jobs in Riverside, CA are:

What are popular job titles related to Data Scientist Online jobs in Riverside, CA?

For Data Scientist Online jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Data Scientist Online jobs in Riverside, CA look for?

The top searched job categories for Data Scientist Online jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Data Scientist Online jobs?

Cities near Riverside, CA with the most Data Scientist Online job openings:

Data Scientist Online jobs near you
Infographic showing various Data Scientist Online job openings in Riverside, CA as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $172,158 per year, or $82.8 per hour.

Data Scientist - Business Analytics & ML

Kia America

Irvine, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago

Kia rating

6.3

Company rating: 6.3 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

41st of 45 rated automakers

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.

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