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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 Aug 22, 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.

What cities are hiring for Trainee Data Scientist Experimentation jobs?

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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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Trainee Data Scientist Experimentation jobs near you

Senior Data Scientist - Experimentation & Measurement

Sony Interactive Entertainment (SIE)

San Diego, CA

$178K - $268K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

Job description

Why Sony Interactive Entertainment?

Sony Interactive Entertainment isn't just the Best Place to Play - it's also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we're part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.

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'sdegree 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.

#LI-KC

At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for SIE's top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Clickhere to learn more.

The estimated base pay range for this role is listed below.
$178,900-$268,300 USD

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to ourCandidate Privacy Noticefor more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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