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Senior Data Scientist Experimentation Jobs (NOW HIRING)

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 ...

PlayStation Global

OR

Staff Data Scientist - Experimentation & Measurement Overview: As a Staff Data Scientist on the ... senior leadership. * Mentor and guide other Data Scientists, providing thought leadership and ...

New

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.

Instacart

OR

Design rigorous experiments and interpret results to draw detailed and actionable conclusions ... As a Senior Data Scientist, you'll own the analytics and experimentation strategy that powers how ...

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Senior Data Scientist Experimentation information

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$41.5K

$142.5K

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

As of Jul 26, 2026, the average yearly pay for senior data scientist experimentation in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

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

AspectSenior Data Scientist ExperimentationData Scientist Experimentation
Required CredentialsMaster's or PhD in Data Science, Statistics, or related field; extensive experienceBachelor's or Master's in relevant field; less experience required
Work EnvironmentLeads experimentation projects, mentors junior staff, influences strategyExecutes experiments, analyzes data, supports decision-making
Employer & Industry UsageTech companies, e-commerce, finance; roles in innovation teamsStartups, tech firms, research teams; common in data-driven industries

Senior Data Scientist Experimentation typically involves leading complex experimentation projects, mentoring team members, and shaping strategic decisions. Data Scientist Experimentation focuses on executing experiments, analyzing results, and supporting data-driven decisions. The senior role requires more experience, leadership, and strategic influence within organizations.

What does a Senior Data Scientist Experimentation do?

A Senior Data Scientist Experimentation designs and analyzes experiments, such as A/B tests, to help organizations make data-driven decisions. They develop methodologies to test hypotheses, interpret results, and provide actionable insights to improve products or services. In addition to technical expertise in statistics and data analysis, they often collaborate with product managers, engineers, and other stakeholders to ensure experiments are well-structured and aligned with business goals. Their work helps organizations optimize features, understand user behavior, and drive innovation.

How does a Senior Data Scientist Experimentation typically interact with cross-functional teams during the design and analysis of experiments?

Senior Data Scientists focused on experimentation collaborate closely with product managers, engineers, designers, and business stakeholders to define experiment goals and ensure alignment with product strategy. They guide teams in establishing proper experimental design, such as randomized controlled trials or A/B tests, and are responsible for communicating methodology and results in an accessible way. Regular cross-functional meetings and iterative feedback loops are common, allowing for agile adjustments and shared understanding of experimental outcomes, which ultimately drive data-informed decision making across the organization.

What are the key skills and qualifications needed to thrive as a Senior Data Scientist Experimentation, and why are they important?

To excel as a Senior Data Scientist Experimentation, you need deep expertise in statistical analysis, experimental design (such as A/B testing), and a strong background in data science or a related quantitative field. Proficiency with tools like Python, R, SQL, and experimentation platforms, as well as familiarity with cloud services and version control, is typically required. Outstanding problem-solving, communication, and stakeholder management skills are crucial for translating complex findings into actionable business insights. These abilities ensure robust experimentation, accurate data-driven decisions, and effective collaboration across teams.
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What cities are hiring for Senior Data Scientist Experimentation jobs? Cities with the most Senior Data Scientist Experimentation job openings:
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Senior Data Scientist Experimentation jobs near you
Infographic showing various Senior Data Scientist Experimentation job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.
Senior Data Scientist - Experimentation & Measurement

Senior Data Scientist - Experimentation & Measurement

PlayStation Global

San Diego, CA

Other

Posted 3 days ago

Job description

Senior Data Scientist -  Experimentation & Measurement

San Diego, CA

 Overview:

As a Senior Data Scientist on the Decision Science team within the Data Science, Analytics, & Enablement (DSAE) organization at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of PS4 to PS5 user migration initiatives, growth marketing strategies, and broader campaign performance. This role is focused on advancing our experimentation practices-bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across PlayStation.

What You'll Be Doing:
  • Lead the design, execution, and interpretation of A/B tests and quasi-experiments to evaluate the impact of user migration initiatives (PS4 to PS5), growth marketing strategies, and campaign performance.
     
  • Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles.
     
  • Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication.
     
  • Apply advanced causal inference methods when experimentation isn't feasible or to inform test design and prioritization.
     
  • Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company.
     
  • Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools.
     
  • Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity.
     
  • Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team's work.
Basic Requirements:
 

  • Bachelor's degree or equivalent.
     

  • 5+ years of experience in a data science experimentation-focused role (3+ with PhD).
     

  • Deep expertise in A/B testing and causal inference, including quasi-experimental methods.
     

  • Proficiency in SQL for data extraction and transformation.
     

  • Proficiency in Python, including statistical and data science libraries.
     

  • Broad and applied knowledge of statistical techniques and machine learning modeling methods.
     

  • Proven ability to influence product and business decisions through clear, actionable insights.
     

  • Experience contributing to or developing experimentation frameworks, best practices, or internal tooling.

    Preferred Requirements:

  • Master's or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered.
     

  • Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior.

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