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Data Scientist Experimentation Jobs (NOW HIRING)

Netflix

Data Scientist 6 - Experimentation Platform

OR · On-site +1

Define how data scientists contribute metrics, reports, and templates to the platform so they have high leverage when setting standards for experiments in their own space. Trust & Methodology: Verify ...

OpenAI

Data Scientist, Core Experimentation

Seattle, WA · On-site

$347K - $385K/yr

About the Role We are hiring a Staff-level Data Scientist to help lead the evolution of OpenAI's core experimentation platform. This role is focused on improving the statistical rigor, reliability ...

SWBC

Data Scientist II

San Antonio, TX · On-site

The Data Scientist II is expected to independently lead analyses and model development projects ... Build and maintain ML/AI experiment workflows using Hex for prototyping and exploration, and AWS ...

SWBC

Data Scientist II

San Antonio, TX · On-site

The Data Scientist II is expected to independently lead analyses and model development projects ... Build and maintain ML/AI experiment workflows using Hex for prototyping and exploration, and AWS ...

Swbc

Data Scientist II

San Antonio, TX

The Data Scientist II is expected to independently lead analyses and model development projects ... Build and maintain ML/AI experiment workflows using Hex for prototyping and exploration, and AWS ...

Find Data Science

Data Scientist

San Francisco, CA

Conduct experiments and statistical analysis to evaluate the effectiveness of business strategies. * Stay updated on industry trends and best practices regarding data science methodologies and ...

SWBC

Senior Data Scientist

San Antonio, TX · On-site

The Senior Data Scientist will serve as a subject matter expert and strategic partner to business ... Conduct AI experimentation and prototyping within governed sandbox environments, including ...

SWBC

Senior Data Scientist

San Antonio, TX · On-site

The Senior Data Scientist will serve as a subject matter expert and strategic partner to business ... Conduct AI experimentation and prototyping within governed sandbox environments, including ...

Swbc

Senior Data Scientist

San Antonio, TX · On-site

The Senior Data Scientist will serve as a subject matter expert and strategic partner to business ... Conduct AI experimentation and prototyping within governed sandbox environments, including ...

SWBC

Senior Data Scientist

San Antonio, TX

The Senior Data Scientist will serve as a subject matter expert and strategic partner to business ... Conduct AI experimentation and prototyping within governed sandbox environments, including ...

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Data Scientist Experimentation information

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How much do data scientist experimentation jobs pay per year?

As of Sep 13, 2026, the average yearly pay for 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 a data scientist experimentation?

A Data Scientist Experimentation role focuses on designing, analyzing, and interpreting experiments, often A/B tests, to drive data-driven decision-making. They collaborate with product, engineering, and business teams to define hypotheses, structure experiments, and assess the impact of changes. This role requires strong statistical knowledge, proficiency in programming languages like Python or R, and experience with experimentation platforms. The goal is to optimize products, features, and user experiences based on data insights.

What kinds of experiments or analyses does a data scientist experimentation typically work on?

As a Data Scientist Experimentation, you will frequently design and analyze A/B tests, multivariate experiments, and other controlled trials to evaluate the impact of product or process changes. You'll collaborate with product managers, engineers, marketers, and UX teams to identify key business questions and set up experiments that generate actionable insights. A significant part of your role involves ensuring experimental validity, analyzing outcomes using statistical methods, and clearly communicating recommendations based on your findings. This position offers a dynamic environment with opportunities to influence strategic decisions and directly impact business outcomes.

What are the key skills and qualifications needed to thrive as a data scientist experimentation, and why are they important?

To thrive as a Data Scientist Experimentation, you need strong statistical knowledge, experimental design expertise, and proficiency in data analysis, often supported by an advanced degree in a quantitative field. Familiarity with tools such as Python, R, SQL, A/B testing platforms, and experience with cloud-based data systems or relevant certifications are highly beneficial. Strong problem-solving, communication, and collaboration skills help you translate complex data findings into actionable business recommendations and work effectively with cross-functional teams. These skills are vital for designing rigorous experiments, interpreting results accurately, and driving data-driven decisions within organizations.

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Data Scientist Experimentation jobs near you
Infographic showing various Data Scientist Experimentation job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Staff Product Data Scientist, Experimentation

San Francisco, CA • On-site

Waymo
Internet and IT • 1 - 5K employees
Learn more about Waymoexternal

$230K - $284K/yr

Full-time

Re-posted 19 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

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