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Data Scientist Experimentation Jobs (NOW HIRING)

FanDuel

Data Scientist, Experimentation

New York, NY · On-site

The Data Scientist will partner with retention marketing stakeholders and will be responsible for designing and analyzing experiments that help to answer key questions and drive promotional strategy.

MDAEdge

Data Scientist & Experimentation Analyst

MDAEdge is seeking a Data Scientist & Experimentation Analyst to support the development and evaluation of ML-driven pricing and personalization solutions. This role involves providing data-driven ...

FanDuel

Data Scientist, Experimentation

New York, NY · On-site

The Data Scientist will partner with retention marketing stakeholders and will be responsible for designing and analyzing experiments that help to answer key questions and drive promotional strategy.

FanDuel

Data Scientist, Experimentation

Manhattan, NY · On-site

The Data Scientist will partner with retention marketing stakeholders and will be responsible for designing and analyzing experiments that help to answer key questions and drive promotional strategy.

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How much do data scientist experimentation jobs pay per year?

As of Aug 23, 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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Cupertino, United States On-site Apple Senior Data Scientist, Experimentation & Causal Inference

Experimentation Jobs

Cupertino, CA • On-site

$120 - $150/hr

Other

Posted 17 days ago

Job description

Why Here?

Apple is seeking a Senior Data Scientist, Experimentation & Causal Inference to help advance the scientific foundations of measurement, experimentation, and organizational learning across Apple Services. The role sits at the intersection of statistics, causal inference, experimental design, and decision-making. This position plays a pivotal role in establishing experimentation standards, developing advanced causal methodologies, building experimentation intelligence systems, and driving cross-experiment learning initiatives.

What Will You Do?

As a Senior Data Scientist, Experimentation & Causal Inference at Apple, you will own key components of the experimentation science ecosystem and work across product, growth, engineering, data engineering, and strategic science teams to define measurement frameworks. You will establish experimentation standards, develop advanced causal methodologies, and build experimentation intelligence systems for cross-experiment learning initiatives. Additionally, you will help evolve experimentation methodologies to evaluate increasingly complex product behaviors and long-term user outcomes.

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