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Trainee 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 · 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 ...

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 ...

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Trainee Data Scientist Experimentation information

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

As of Sep 12, 2026, the average yearly pay for trainee 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 does a trainee data scientist experimentation do?

A Trainee Data Scientist Experimentation assists in designing, conducting, and analyzing experiments to solve business problems using data. They work closely with senior data scientists to learn methods such as A/B testing, statistical analysis, and machine learning. Their responsibilities often include preparing datasets, running analyses, and interpreting results to provide actionable insights. This role provides hands-on experience in using data science tools and techniques in a real-world environment while developing skills necessary for more advanced data science positions.

What types of projects and collaborative opportunities can a trainee data scientist experimentation expect during the early stages of their career?

As a Trainee Data Scientist specializing in experimentation, you will typically work on projects involving A/B testing, statistical analysis, and data-driven decision-making to optimize products or processes. You'll often collaborate closely with product managers, engineers, and senior data scientists to design experiments and interpret results. Early in your role, you'll likely contribute to setting up test frameworks, analyzing user behavior data, and presenting findings to cross-functional teams. This environment not only builds your technical and analytical skills but also enhances your ability to communicate insights and work collaboratively across departments.

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

To thrive as a Trainee Data Scientist Experimentation, you generally need a solid background in statistics, data analysis, and experimental design, often supported by a degree in a quantitative field such as mathematics, computer science, or engineering. Familiarity with programming languages like Python or R, experience with data visualization tools, and knowledge of A/B testing platforms are typically required. Strong problem-solving skills, curiosity, and effective communication set candidates apart in this role. These skills are crucial for designing robust experiments, interpreting complex data, and communicating insights that drive data-informed decision-making.

What is the difference between Trainee Data Scientist Experimentation vs Data Analyst?

AspectTrainee Data Scientist ExperimentationData Analyst
Required CredentialsTypically a degree in data science, statistics, or related field; some programming knowledgeOften a degree in statistics, mathematics, or related field; proficiency in Excel and SQL
Work EnvironmentCollaborative teams focusing on experimental design, A/B testing, and data modelingAnalyzing data sets, creating reports, and visualizations for business insights
Employer & Industry UsageStartups, tech companies, and research labs experimenting with data-driven solutionsCorporate businesses across finance, marketing, and retail sectors

While both roles involve working with data, Trainee Data Scientist Experimentation focuses on designing and testing experiments to derive insights, often requiring programming and statistical skills. Data Analysts primarily interpret existing data to generate reports and support decision-making. The roles overlap in data handling but differ in scope and technical depth.

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What are the most commonly searched types of Data Scientist Experimentation jobs?

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Trainee Data Scientist Experimentation jobs near you

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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