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Data Science Jobs in Riverside, CA (NOW HIRING)

DIRECTOR, DATA SCIENCE REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot Barn is where community comes first. We thrive on togetherness, collaboration, and belonging. We build each other ...

Director, Data Science

Irvine, CA · On-site

$150K - $200K/yr

DIRECTOR, DATA SCIENCE REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot Barn is where community comes first. We thrive on togetherness, collaboration, and belonging. We build each other ...

Data Science Manager

Irvine, CA · On-site

$119K - $197K/yr

The Manager Data Science is responsible for architecting, building, and deploying production-grade machine learning models, AI solutions, and data products while leading a team of advanced data ...

The Manager Data Science is responsible for architecting, building, and deploying production-grade machine learning models, AI solutions, and data products while leading a team of advanced data ...

DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where community comes first. We thrive on togetherness, collaboration, and belonging. We build each other up, listen intently, and ...

Data Scientist

Irvine, CA · On-site

$100K - $130K/yr

DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where community comes first. We thrive on togetherness, collaboration, and belonging. We build each other up, listen intently, and ...

Develop custom data science solutions from first principles, leveraging advanced techniques in probability and statistics, machine learning, and graph mining, especially in contexts where off-the ...

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Data Science information

See Riverside, CA salary details

$39.1K

$128K

$205K

How much do data science jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data science 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 Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in programming, statistical analysis, and machine learning remain essential for designing and deploying AI solutions effectively.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What jobs are there in data science?

Data science offers a variety of roles including Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, and Business Intelligence Analyst. These positions typically require skills in programming, statistics, and data visualization tools, and may involve working with large datasets, predictive modeling, and data-driven decision making.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What jobs does a data scientist do?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use programming languages like Python or R, employ statistical techniques, and often work with machine learning algorithms to solve complex problems across various industries.
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 are popular job titles related to Data Science jobs in Riverside, CA? For Data Science jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Riverside, CA look for? The top searched job categories for Data Science jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Data Science jobs? Cities near Riverside, CA with the most Data Science job openings:
Infographic showing various Data Science job openings in Riverside, CA as of June 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $128,049 per year, or $61.6 per hour.
Director, Data Science

Full-time

Posted 22 days ago


Boot Barn rating

5.6

Company rating: 5.6 out of 10

Based on 217 frontline employees who took The Breakroom Quiz

66th of 102 rated fashion retailers


Job description

DIRECTOR, DATA SCIENCE

REPORTS TO: CHIEF DIGITAL OFFICER

STATUS: EXEMPT

Summary

Boot Barn is where community comes first. We thrive on togetherness, collaboration, and belonging. We build each other up, listen intently, and implement out-of-the-box ideas. We celebrate new innovations, congratulate one another's achievements, and most importantly support each other.

At Boot Barn, we work together to make a positive impact on the world around us, and by working collectively with encouragement, we consider ourselves "Partners." With the values of the West guiding us, Boot Barn celebrates heritage, welcomes all, and values each unique Partner within our Boot Barn community.

Our vision is to offer everyone a piece of the American spirit - one handshake at a time.

The Director of Data Science will be instrumental in defining and executing Boot Barn's Data Science strategy. This role will provide leadership and vision to build and scale advanced analytics, machine learning, and generative AI capabilities that drive measurable business impact across the organization.

This leader will establish the roadmap, operating model, and best practices for Data Science, partnering closely with Technology, Ecommerce, Marketing, Merchandising, Supply Chain, and Store Operations to unlock value through data-driven decision making and intelligent systems. The Director will lead a high-performing team and ensure the delivery of scalable, production-ready solutions that support Boot Barn's long-term growth strategy.

Essential Duties and Responsibilities

  • Define and drive the vision, strategy, and operating plan for Data Science across the organization, aligning initiatives to business priorities and revenue objectives including partnering on AI intiatives.
  • Build and lead a high-performing team of Data Scientists, fostering a culture of innovation, accountability, and continuous development
  • Identify, prioritize, and execute high-impact use cases across personalization, forecasting, pricing, marketing optimization, and customer experience
  • Establish and track KPIs to measure the impact of data science initiatives on revenue, margin, customer engagement, and operational efficiency
  • Partner with executive leadership and cross-functional stakeholders to translate business needs into scalable data science & AI solutions
  • Oversee the design, development, and deployment of predictive models, and intelligent systems at enterprise scale
  • Ensure strong collaboration with Data Engineering and AI/ML Engineering teams to productionize models through robust architecture, MLOps, and scalable infrastructure
  • Standardize data science best practices, including experimentation frameworks, model governance, documentation, and reproducibility
  • Help evaluate and implement new tools, technologies, and vendor solutions to enhance AI/ML capabilities
  • Communicate complex analytical insights and model outcomes to executive and non-technical audiences, enabling data-driven decision making
  • Continuously assess and optimize data science operations to improve efficiency, scalability, and business impact
  • Demonstrates high level of quality work, attendance and appearance.
  • Demonstrates high degree of professionalism in communication, attitude and teamwork with customers, peers and management.
  • Adhere to all local, federal and state laws in addition to Company policies, procedures, and practices.
  • Performs any other duties that may be assigned by management.

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About Boot Barn

Sourced by ZipRecruiter

At Boot Barn, we honor America's western heritage. We believe in quality products and good value. And we've stocked our shelves with quality western and work gear for you and your family. With over 500,000 pairs of boots -- western, work and fashion -- and over 8,000 styles of jeans, shirts, hats, belts, jewelry and more, we offer the latest styles from the brands you love. Hatched over thirty years ago with one store in Orange County, California, Boot Barn has become the nations largest Western and Work retailer with 230 + stores in 30 states and a robust e-commerce business. We will outfit you from head to toe and give you the kind of service you'd expect from a company that values heritage, hard work and community.

Industry

Retail

Company size

5,001 - 10,000 Employees

Headquarters location

Irvine, CA, US