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

Esri

Product Engineer II - Data Management

Redlands, CA · On-site

$79K - $133K/yr

Play a major part in the development process by determining product quality and release readiness ... Bachelor's degree in computer science, engineering, GIS, data science, network science, mathematics ...

Monster Energy

Senior Director, AI Innovation

Corona, CA · On-site

$270K - $310K/yr

... major opportunities to transform revenue, operations, marketing, supply chain, finance, HR, and ... data science, MLOps, automation, SWAT teams). Implement workforce planning and organizational ...

Hill International

Scheduler

Pomona, CA · Hybrid

$115K - $134K/yr

Bachelor's degree in engineering, data science, construction management, business, finance, or ... Schedules major projects/distribution program projects (30 + work groups of distribution projects ...

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All JobsData Science Major JobsData Science Major Jobs in Riverside, CA

Data Science Major information

What are the key skills and qualifications needed to thrive as a Data Science Major, and why are they important?

To thrive as a Data Science Major, you need a solid understanding of mathematics, statistics, and programming languages such as Python or R, typically backed by coursework or a related degree. Familiarity with data analysis tools, machine learning libraries, and platforms like SQL, TensorFlow, or Jupyter Notebook is also important. Critical thinking, effective communication, and problem-solving skills help you interpret data insights and collaborate on projects. These competencies enable you to extract meaningful information from data, drive decision-making, and succeed in a data-driven environment.

What is a Data Science major?

A Data Science major is an academic program that focuses on teaching students how to collect, analyze, and interpret large sets of data to solve real-world problems. It combines coursework in statistics, computer science, mathematics, and domain-specific knowledge to prepare graduates for roles in various industries such as technology, healthcare, finance, and more. Students learn programming languages like Python or R, machine learning techniques, and data visualization skills. The major often includes hands-on projects and internships to provide practical experience in analyzing and extracting insights from data.

What types of projects or problems do Data Science majors typically work on during internships or entry-level roles?

Data Science majors in internships or entry-level positions often collaborate on projects involving data cleaning, exploratory data analysis, and building predictive models. They might work with real-world datasets to identify trends, automate reporting, or support business decision-making with data-driven insights. These roles typically require teamwork with software engineers, business analysts, and domain experts, offering valuable opportunities to apply classroom knowledge to practical challenges and to develop skills in popular tools like Python, R, and SQL.

What jobs can you do with data science?

Data science majors can pursue roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau, often with relevant certifications or advanced degrees.

Is data science a good major?

Data science is a strong major for those interested in careers involving data analysis, machine learning, and statistical modeling. It prepares students with skills in programming, data manipulation, and tools like Python and R, which are highly valued in many industries. Graduates often find opportunities in technology, finance, healthcare, and consulting sectors.

What kind of jobs can I get with a data science degree?

A data science degree prepares individuals for roles such as data scientist, data analyst, machine learning engineer, and business intelligence analyst. These jobs typically require skills in programming languages like Python or R, statistical analysis, and data visualization tools, often within technology, finance, healthcare, or marketing industries.

What is the difference between Data Science Major vs Data Analyst?

AspectData Science MajorData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldsDegree in Statistics, Mathematics, or related fields
Work EnvironmentResearch, development, and complex data modelingData interpretation, reporting, and visualization
Industry UsageTech companies, finance, healthcare, academiaBusiness, marketing, finance, healthcare
Common Search/ComparisonData Science Major vs Data Analyst

While both roles involve working with data, a Data Science Major typically prepares individuals for complex data modeling, machine learning, and research tasks. In contrast, a Data Analyst focuses on interpreting data, creating reports, and visualizations to support business decisions. The roles often overlap, but the Data Science Major emphasizes advanced analytics and programming skills, whereas Data Analysts concentrate on data interpretation and communication.

What are the careers in data science?

Careers in data science include roles such as data scientist, data analyst, machine learning engineer, and data engineer. These positions involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
What job categories do people searching Data Science Major jobs in Riverside, CA look for? The top searched job categories for Data Science Major jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Data Science Major jobs? Cities near Riverside, CA with the most Data Science Major job openings:
Data Science Major jobs near you
Infographic showing various Data Science Major job openings in Riverside, CA as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Principal Data Platform Architect

Principal Data Platform Architect

Ventura Foods

Irvine, CA • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Ventura Foods rating

6.9

Company rating: 6.9 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

220th of 401 rated food and drinks producers

Job description

Employment Type: Salaried
Work Arrangement: Hybrid 

Position Summary:

The Principal Data Platform Architect defines and drives the company’s enterprise data platform strategy and roadmap. This role designs a modern lakehouse architecture on Snowflake, enables self-service BI, advances integration across systems and data domains, and establishes the foundation for machine learning and AI platforms—ensuring the ecosystem is scalable, secure, and delivers trusted data for business value.

Major Duties and Responsibilities:
  • Define and own the enterprise data platform strategy and roadmap:
    -Develop the architectural vision for data, integration, analytics, and AI platforms.
    -Align platform capabilities with evolving business needs such as growth, efficiency, compliance, and innovation.
    -Establish architectural principles, standards, and governance.
  • Design and govern Snowflake-based lakehouse architecture (medallion model):
    -Design the logical data models for bronze, silver, and gold layers.
    -Ensure data quality, lineage, and security across structured and semi-structured data.
    -Optimize performance, cost management, and multi-tenant scalability.
  • Lead integration architecture across systems and data domains:
    -Define patterns for API-led, event-driven, and batch data movement.
    -Standardize error handling, monitoring, and metadata capture.
    -Ensure interoperability between enterprise applications, data warehouse, and operational platforms.
  • Enable and expand self-service BI and analytics:
    -Architect semantic layers and governed datasets for analytics platforms.
    -Define policies for certified vs. exploratory analytics.
    -Deliver frameworks for data catalogs, data dictionaries, and end-user guides.
  • Lay the foundation for machine learning and AI platforms:
    -Ensure data pipelines support ML feature engineering and model training.
    -Partner with data science teams to establish MLOps best practices.
    -Enable reuse of data assets for predictive and generative AI use cases.
Education and Experience:

Education

  • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field required.
  • Master’s degree in Computer Science, Information Management, or Business/Technology discipline preferred.

Experience

  • 10+ years of experience in data architecture, data engineering, or enterprise data platforms.
  • 5+ years in a senior/lead architect role driving platform strategy, standards, and governance at enterprise scale.
  • Proven expertise designing and operating cloud-based data platforms (Snowflake or similar), including lakehouse/medallion architectures.
  • Hands-on experience with ELT/ETL tools, data modeling, and metadata management (dbt, Fivetran, or comparable).
  • Strong background in enterprise integration (API-led, event-driven, or batch patterns).
  • Demonstrated success enabling self-service BI and analytics platforms with governed semantic layers.
  • Exposure to machine learning/AI platforms and MLOps practices for operationalizing models.
  • Track record of partnering with business leaders to align data platforms with strategic business needs (growth, efficiency, compliance, innovation).
  • Excellent leadership, communication, and stakeholder management skills; experience influencing technical and executive audiences.
Knowledge and Skills:
  • Data Architecture & Modeling – Expert in designing lakehouse architectures (bronze/silver/gold) and enterprise data models that support both analytics and AI/ML workloads.
  • Cloud Data Platforms – Deep hands-on knowledge of Snowflake (or equivalent cloud-native platforms), including performance tuning, cost optimization, multi-tenant design, and governance.
  • Data Engineering & ELT – Strong proficiency in dbt or similar transformation frameworks, ELT/ETL orchestration, metadata management, and automation of data pipelines.
  • Integration Patterns – Advanced understanding of API-led, event-driven, and batch integration; skilled at designing reusable integration frameworks.
  • Analytics & BI Enablement – Skilled at architecting self-service BI environments, semantic layers, and governed datasets; experience with enterprise BI tools.
  • Machine Learning & AI Enablement – Familiarity with ML pipelines, feature stores, and MLOps practices to operationalize AI models.
  • Security, Compliance & Governance – In-depth knowledge of data security, privacy, and governance frameworks, including RBAC/ABAC models and regulatory compliance.
  • Leadership & Communication – Strong ability to translate complex technical concepts into business value, influence senior executives, and guide cross-functional teams.
  • Strategic Thinking – Ability to balance long-term platform vision with short-term delivery, ensuring scalability, adaptability, and cost-effectiveness.

Why Join Us:
Ventura Foods innovates and manufactures food solutions for foodservice and retail businesses.  We make exclusive products for the world's most iconic restaurants and retailers, we provide ready-to-go product solutions for professional kitchens, and we make consumer brands everyone knows and loves.  When you work for Ventura Foods, you get a strong foundation of training, a manager who cares about you and celebrates your success, a safe environment, and challenging work.  As part of our team, your future is limited only by how much you’re willing to push yourself to get there. We invest in your growth because you invest in ours.  

Ventura Foods offers career growth opportunities as well as competitive compensation and benefits:​

  • Medical, Prescription, Dental, & Vision – coverage beginning on your 1st day for eligible employees​
  • Profit Sharing and 401(k) matching (after eligible criteria is met)​
  • Paid Vacation, Sick Time, and Holidays​
  • Employee Appreciation Events​ and Employee Assistance Programs
  • Salary Base Range of $150,000 - $185,000*

*The “base salary range” provided above is a good faith estimate of what we expect to pay for this position in the specified markets.  Ventura Foods reserves the right to pay outside of the given range based on a variety of factors including but not limited to: candidate skills and experience, complexity of the job, budgetary factors, and location/geography.  Ventura Foods conducts regular reviews of compensation ranges and therefore reserves the right to alter this range at any given time.  

Diversity & Inclusion:
Our commitment to a diverse and inclusive environment in which all employees are treated with respect is evident in our company culture and values.  We believe that fostering an environment of inclusion and a focus on diversity across our organization is vital to attracting top talent, driving innovation, and meeting the high expectations of our customers in a rapidly evolving global marketplace.

Ventura Foods is proud to be an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.

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