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Executive Data Scientist Experimentation Jobs (NOW HIRING)

As a Customer Data Scientist , you will combine deep experimentation expertise, applied statistics ... Collaborate closely with Account Executives, Solutions Engineers, Product Managers, and Engineers ...

Data Scientist * Experience: 5-15 Years * Location: Glendale, USA * Job Type: Full-time Must Haves ... executives. Key Responsibilities: * Design and Execute Experiments: Lead end-to-end A/B testing ...

... to business and executive leadership, driving the development and deployment of intelligent ... Conduct AI experimentation and prototyping within governed sandbox environments, including ...

... to business and executive leadership, driving the development and deployment of intelligent ... Conduct AI experimentation and prototyping within governed sandbox environments, including ...

... to business and executive leadership, driving the development and deployment of intelligent ... Conduct AI experimentation and prototyping within governed sandbox environments, including ...

Design and Execute Experiments: Lead end-to-end A/B testing initiatives and Geo Experiments, from ... Influence Executive Decisions: Present findings and recommendations to senior leadership ...

Conduct statistical analysis, A/B testing, and experimental design to validate hypotheses and model ... Work closely with the Dashboard COE to integrate ML-driven insights into executive-facing ...

Define and enforce data science best practices - modelling standards, experiment documentation ... executive briefings, and written reports - making complex model behaviour accessible to business ...

To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate ...

The Data Scientist II will work closely with senior team members to design, build, and deploy data ... experiment tracking, feature engineering, and model versioning. • Develop and deploy AI/ML ...

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Executive Data Scientist Experimentation information

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$37.5K

$122.7K

$196.5K

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

As of Aug 6, 2026, the average yearly pay for executive data scientist experimentation in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 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.
More about Executive Data Scientist Experimentation jobs
What cities are hiring for Executive Data Scientist Experimentation jobs? Cities with the most Executive Data Scientist Experimentation job openings:
What are the most commonly searched types of Data Scientist Experimentation jobs? The most popular types of Data Scientist Experimentation jobs are:
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What job categories do people searching Executive Data Scientist Experimentation jobs look for? The top searched job categories for Executive Data Scientist Experimentation jobs are:
Infographic showing various Executive Data Scientist Experimentation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Staff Product Data Scientist, Experimentation

Waymo

San Francisco, CA • On-site

$230K - $284K/yr

Full-time

Posted 12 days ago


Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Waymo's Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company - from driving quality and operational efficiency to market analysis and rider satisfaction scores - we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information.
In this hybrid role, you will report to a Staff Product Data Scientist.
You will:
  • Define the science roadmap for Waymo's marketplace experimentation platform
  • Develop advanced testing methodologies to solve for physical-world dynamics like network effects and spatial-temporal correlations
  • Establish rigorous best practices for experiment design and evaluation across the broader product organization
  • Partner with engineering to translate algorithmic logic into automated, production-grade pipelines
  • Act as the primary domain expert on causal inference, providing technical leadership and translating complex results into clear product strategy

You have:
  • An advanced degree in a quantitative field (e.g., Statistics, Economics, Operations Research, Computer Science)
  • 8+ years of industry experience with a deep focus on causal inference, experimental design, and applied statistics
  • Proficiency in SQL and Python, with a track record of partnering with engineering to build automated experimentation tools
  • Strong product sense and the ability to explain technical concepts to non-technical stakeholders

We prefer:
  • Experience with two-sided marketplaces and physical-world operations (e.g., ride-hailing, delivery)
  • Familiarity with core marketplace systems (e.g., pricing, matching)
  • Experience integrating algorithmic methods into large-scale internal platforms

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$230,000-$284,000 USD