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

The Director of Data Science will define and execute the Data Science strategy, providing ... degree of professionalism in communication, attitude and teamwork with customers, peers and ...

Director, Data Science

Irvine, CA · On-site

$150K - $200K/yr

Bachelor's or advanced degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ years of experience in data science, machine learning, or advanced analytics, with ...

DIRECTOR, DATA SCIENCE REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot Barn is where ... Demonstrates high degree of professionalism in communication, attitude and teamwork with customers ...

Data Science Manager

Irvine, CA · On-site

$119.13K - $197.73K/yr

Bachelor's or Master's degree in a relevant field (e.g., Data Science, Information Systems, Computer Science, Business, or related discipline). Master's degree preferred * 7+ years of hands-on ...

Bachelor's or Master's degree in a relevant field (e.g., Data Science, Information Systems, Computer Science, Business, or related discipline). Master's degree preferred * 7+ years of hands-on ...

Data Scientist

Irvine, CA · On-site

$100K - $130K/yr

Bachelor's or Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. * 3+ years of hands-on data science experience; proven track ...

DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where community comes first. We thrive ... Demonstrates high degree of professionalism in communication, attitude and teamwork with customers ...

Data Scientist II

Irvine, CA

$130.27K - $170.60K/yr

Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Data Science, or related field and four (4) years of experience in the job offered or related role. Must have four (4) years of ...

D. degree in Computer Science, Applied Mathematics, (Bio) Statistics, Applied Statistics, Economics, or similar quantitative fields. Experience developing and deploying models related to recommender ...

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Data Science Degree information

See Riverside, CA salary details

$39.1K

$128K

$205K

How much do data science degree jobs pay per year?

As of May 31, 2026, the average yearly pay for data science degree 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 mathematics, statistics, and programming, typically supported by a degree in data science, computer science, or a related field. Proficiency in technical tools such as Python or R, SQL, and machine learning frameworks, along with relevant certifications, is highly valued. Strong problem-solving abilities, effective communication, and curiosity help set apart top-performing data scientists. These skills are crucial for extracting actionable insights from data, collaborating with stakeholders, and driving data-driven decision-making.

What types of real-world projects or team collaborations can I expect to work on after earning a Data Science degree?

After earning a Data Science degree, you can expect to engage in a variety of real-world projects such as building predictive models, analyzing large datasets to uncover business insights, and developing data-driven solutions for organizational challenges. Data scientists often collaborate closely with cross-functional teams, including software engineers, business analysts, and domain experts, to translate complex data findings into actionable strategies. These collaborations not only enhance your technical skills but also provide valuable experience in communication and project management, which are essential for career growth in this field.

What is a Data Science degree?

A Data Science degree is an academic program that prepares students to analyze, interpret, and derive insights from complex data sets using statistical, computational, and machine learning techniques. The curriculum typically includes coursework in mathematics, statistics, computer science, and specialized data science methods. Graduates are equipped with the skills to work in a variety of industries, tackling real-world problems by leveraging data-driven decision making. This degree can be pursued at the undergraduate or graduate level, and often includes hands-on projects and internships.

Is data science dead in 10 years?

Data science is a growing field that is expected to remain relevant over the next decade, as organizations continue to rely on data analysis, machine learning, and statistical skills. Advances in automation and AI may change some roles, but the need for skilled data scientists to interpret complex data and develop models will persist. Continuous learning and proficiency with tools like Python, R, and SQL are essential for long-term career success in this field.

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

AspectData Science DegreeData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentResearch, modeling, developing algorithms, often in tech or finance industriesData cleaning, reporting, visualization, supporting business decisions
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, finance, healthcare

Data Science Degree programs focus on advanced analytics, machine learning, and programming, preparing individuals for complex modeling roles. Data Analysts typically handle data processing, visualization, and reporting to support decision-making. While both roles require strong analytical skills, Data Science degrees emphasize technical and statistical expertise, whereas Data Analysts focus on interpreting data for business insights.

What are popular job titles related to Data Science Degree jobs in Riverside, CA? For Data Science Degree jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Data Science Degree jobs in Riverside, CA look for? The top searched job categories for Data Science Degree jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Data Science Degree jobs? Cities near Riverside, CA with the most Data Science Degree job openings:
Infographic showing various Data Science Degree job openings in Riverside, CA as of May 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 67% Physical, 6% Hybrid, and 27% Remote job distribution, with an average salary of $128,049 per year, or $61.6 per hour.
Director, Data Science

Director, Data Science

Boot Barn

Irvine, CA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Boot Barn rating

5.6

Company rating: 5.6 out of 10

Based on 216 frontline employees who took The Breakroom Quiz

65th of 102 rated fashion retailers


Job description

Job Summary:
Boot Barn is a company that values community, collaboration, and belonging. The Director of Data Science will define and execute the Data Science strategy, providing leadership to build advanced analytics and AI capabilities to drive business impact across the organization.
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 initiatives.
• 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.
Qualifications:
Required:
• 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 initiatives.
• 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.
Company:
Boot Barn humble beginnings of a family run storefront to over 200 stores in 33 states. Founded in 1978, the company is headquartered in Wichita, USA, with a team of 10001+ employees. The company is currently Late Stage.

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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