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

omega solutions, Inc.

Sr. Data Scientist

Santa Ana, CA · On-site

Sr. Data Scientist Santa Ana, CA 6 months : What is the specific title of the position? Senior Data Scientist What Project/Projects will the candidate be working on while on assignment? 1) Field Team ...

Edwards Lifesciences

Senior Data Scientist

Irvine, CA · On-site

$108 - $153/hr

As a Senior Data Scientist, you own modeling for a clinical or product domain, drive problem ... Bachelor's in related field (e.g., Computer Science, Engineering, Biostatistics or Scientific) plus ...

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How much do online data science jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for online data science in Riverside, CA is $43.10, according to ZipRecruiter salary data. Most workers in this role earn between $17.95 and $63.56 per hour, depending on experience, location, and employer.

What is online data science?

Online data science refers to the practice of analyzing and interpreting large sets of data using statistical techniques and computational tools, often through remote or web-based platforms. Professionals in this field use programming, machine learning, and data visualization to extract insights and inform decision-making, all while working online or in virtual environments. This approach allows for flexible collaboration, access to global data sources, and scalable solutions for businesses and organizations.

What are the key skills and qualifications needed to thrive as an online data scientist?

To thrive as an Online Data Scientist, you need a solid understanding of statistics, programming (often Python or R), and data analysis, typically supported by a degree in a quantitative field. Proficiency with data manipulation tools like SQL, machine learning libraries (such as scikit-learn or TensorFlow), and cloud platforms (like AWS or Google Cloud) is commonly required. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for this remote role. These competencies enable you to extract actionable insights from data, collaborate with diverse teams, and drive data-informed decision-making in a virtual environment.

How do online data science professionals typically collaborate with cross-functional teams in a remote environment?

Online data science professionals often work closely with engineers, product managers, and business analysts through digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings and shared documentation help ensure alignment on project goals, data requirements, and timelines. Effective communication is essential for translating complex data insights into actionable recommendations for non-technical stakeholders. Building strong relationships across teams is key to successfully integrating data science solutions into broader organizational strategies.

Can I become an online data scientist?

Yes, you can become an online data scientist by developing skills in programming, statistics, and machine learning, often through online courses and certifications. Many roles require proficiency in tools like Python, R, and SQL, and a strong understanding of data analysis and visualization. Remote data science positions are available across various industries and typically require a relevant degree or experience.

Can I work remotely as an online data scientist?

Online data scientists can often work remotely, as the role primarily involves analyzing data, programming, and using tools like Python or R, which can be done from any location with internet access. Many companies offer remote positions for data science roles, especially for experienced professionals with strong communication skills and proficiency in cloud-based platforms. However, some roles may require on-site collaboration or access to specific hardware or data security protocols.

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

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

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

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

Online Data Science jobs near you
Infographic showing various Online Data Science job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $89,638 per year, or $43.1 per hour.

Data Scientist - Business Analytics & ML

Kia America, Inc.

Irvine, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

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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