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Executive Data Scientist Experimentation Jobs in Riverside, CA

... experimentation to uncover insights and validate model performance. • Develop high-quality ... to data science best practices, model documentation, and the creation of reusable modeling ...

Data Scientist

Irvine, CA · On-site

$100K - $130K/yr

DATA SCIENTIST REPORTS TO: DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where ... Develop high-quality, modular Python code for model training and experimentation using libraries ...

Data Scientist

Irvine, CA · On-site

$100K - $130K/yr

DATA SCIENTIST REPORTS TO: DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where ... Develop high-quality, modular Python code for model training and experimentation using libraries ...

... executive-ready insights -- translating complex pricing dynamics into clear, credible ... Experience designing and interpreting pricing or promotional measurement, including experimentation ...

... executive-ready insights -- translating complex pricing dynamics into clear, credible ... Experience designing and interpreting pricing or promotional measurement, including experimentation ...

Data Scientist

Anaheim, CA · On-site

$100K - $140K/yr

Data Scientist Pay Details: The annual base salary range for this position in California is $100 ... Design and execute experiments end-to-end, including hypothesis formation, test design, execution ...

Data Scientist

Anaheim, CA · On-site

$100K - $140K/yr

Data Scientist Pay Details: The annual base salary range for this position in California is $100 ... Design and execute experiments end-to-end, including hypothesis formation, test design, execution ...

Pricing Data Scientist

Irvine, CA · On-site

$175 - $198/hr

... executives. * Partner closely with BI Analytics and Data Engineering to shape pricing datasets ... Experience designing and interpreting pricing or promotional measurement, including experimentation ...

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 ... Strong Python and SQL, and depth in modeling and experiment tracking such as PyTorch, TensorFlow ...

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

We have an exciting opportunity for a Data Scientist within our data product space. This individual ... Creating new, experimental frameworks to collect data * Building tools to automate data collection

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Showing results 1-20

Executive Data Scientist Experimentation information

See Riverside, CA salary details

$39.1K

$128K

$205K

How much do executive data scientist experimentation jobs pay per year?

As of Aug 10, 2026, the average yearly pay for executive data scientist experimentation 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 is an executive data scientist experimentation?

An Executive Data Scientist Experimentation is a senior-level professional who leads and oversees the design, implementation, and analysis of experiments and data-driven initiatives within an organization. They are responsible for developing experimentation strategies, guiding teams in A/B testing, and ensuring that data insights drive business decisions. This role often collaborates with executive leadership to align data science projects with strategic goals and maximize business impact. Executive Data Scientists also mentor junior staff, set best practices, and ensure that experimentation methods are rigorous and ethical.

What is the difference between Executive Data Scientist Experimentation vs Data Scientist Experimentation?

AspectExecutive Data Scientist ExperimentationData Scientist Experimentation
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentStrategic planning, cross-department collaboration, leadership rolesData analysis, model development, experimentation execution
Employer & Industry UsageTech companies, finance, consulting firms with strategic focusTech, e-commerce, healthcare, and other data-driven industries

Executive Data Scientist Experimentation roles focus on strategic oversight, leadership, and aligning experimentation efforts with business goals. Data Scientist Experimentation roles are more hands-on, involving designing and executing experiments to analyze data and inform decisions. Both roles require strong analytical skills, but the executive level emphasizes leadership and strategic impact.

How does an executive data scientist experimentation typically collaborate with cross-functional teams to drive business impact?

As an Executive Data Scientist focusing on experimentation, you will frequently partner with product managers, engineers, and business leaders to design and interpret experiments that inform strategic decisions. Your role involves translating business questions into measurable hypotheses, guiding teams on best practices for A/B testing, and ensuring rigorous analysis. Effective communication is key, as you'll need to present complex findings in a clear way that supports decision-making across the organization. This collaborative approach not only maximizes the impact of your data insights but also fosters a culture of evidence-based innovation.

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

To thrive as an Executive Data Scientist Experimentation, you need advanced expertise in statistics, experimental design, and data modeling, typically backed by a PhD or master's degree in a quantitative field. Mastery of tools such as Python, R, SQL, and platforms like AWS or Azure, along with experience in A/B testing and big data systems, is essential. Leadership, strategic thinking, and strong communication skills are crucial for guiding teams and translating complex data into actionable business insights. These skills and qualities are vital for driving data-driven decision-making and delivering impactful business results through rigorous experimentation.
What are popular job titles related to Executive Data Scientist Experimentation jobs in Riverside, CA? For Executive Data Scientist Experimentation jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Executive Data Scientist Experimentation jobs in Riverside, CA look for? The top searched job categories for Executive Data Scientist Experimentation jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Executive Data Scientist Experimentation jobs? Cities near Riverside, CA with the most Executive Data Scientist Experimentation job openings:

Data Scientist

Boot Barn

Irvine, CA • On-site

Full-time

Re-posted 20 days ago


Boot Barn rating

5.6

Company rating: 5.6 out of 10

Based on 219 frontline employees who took The Breakroom Quiz

68th of 104 rated fashion retailers


Job description

Job Summary:
Boot Barn is a company that values community and collaboration. The Data Scientist will be responsible for developing advanced machine learning models and generative AI solutions to support data-driven initiatives across various departments.
Responsibilities:
• Design, build, and deploy predictive models to address high-impact applications such as personalization, forecasting, marketing automation, and conversational agents.
• Conduct exploratory data analysis, statistical modeling, causal inference, and A/B experimentation to uncover insights and validate model performance.
• Develop high-quality, modular Python code for model training and experimentation using libraries and frameworks such as pandas, numpy, scikit-learn, PyTorch, TensorFlow.
• Collaborate with AI/ML Engineers to productionize models through containerization, orchestration, and CI/CD pipelines.
• Collaborate with Data and AI/ML Engineers to establish RAG pipelines, vector databases, and agentic frameworks.
• Prototype and deploy generative AI applications such as content generation agents, knowledge assistants, and multimodal interfaces.
• Partner cross-functionally with Store Operations, Ecommerce, Marketing, Merchandise, Supply Chain and Real Estate to identify and prioritize high-impact opportunities.
• Contribute to data science best practices, model documentation, and the creation of reusable modeling frameworks.
• Translate complex model results into clear business insights for technical and non-technical audiences.
• 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:
• Design, build, and deploy predictive models to address high-impact applications such as personalization, forecasting, marketing automation, and conversational agents.
• Conduct exploratory data analysis, statistical modeling, causal inference, and A/B experimentation to uncover insights and validate model performance.
• Develop high-quality, modular Python code for model training and experimentation using libraries and frameworks such as pandas, numpy, scikit-learn, PyTorch, TensorFlow.
• Collaborate with AI/ML Engineers to productionize models through containerization, orchestration, and CI/CD pipelines.
• Collaborate with Data and AI/ML Engineers to establish RAG pipelines, vector databases, and agentic frameworks.
• Prototype and deploy generative AI applications such as content generation agents, knowledge assistants, and multimodal interfaces.
• Partner cross-functionally with Store Operations, Ecommerce, Marketing, Merchandise, Supply Chain and Real Estate to identify and prioritize high-impact opportunities.
• Contribute to data science best practices, model documentation, and the creation of reusable modeling frameworks.
• Translate complex model results into clear business insights for technical and non-technical audiences.
• 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.

What Boot Barn employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Boot Barn logo

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