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On Call Data Scientist Experimentation Jobs (NOW HIRING)

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$85 - $120/hr

Data Scientist (m/w/d) Experimentation Location: Germany, United Kingdom Posted 9 months ago Tech Stack * SaaS * Google Cloud Platform * Python * Testing * Tests * Tools Konfidenzintervalle und ...

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On Call Data Scientist Experimentation information

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How much do on call data scientist experimentation jobs pay per year?

As of Aug 11, 2026, the average yearly pay for on call 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 are the key skills and qualifications needed to thrive as an On Call Data Scientist Experimentation?

To thrive as an On Call Data Scientist Experimentation, you need a strong background in statistics, experimental design, and data analysis, typically supported by a degree in a quantitative field. Proficiency with programming languages like Python or R, familiarity with A/B testing platforms, and experience using data visualization and analytics tools such as SQL and Tableau are essential. Strong problem-solving skills, clear communication, and the ability to quickly adapt to changing priorities set standout candidates apart. These skills are crucial for generating actionable insights from experiments and ensuring data-driven decision-making in dynamic environments.

What is the difference between On Call Data Scientist Experimentation vs Data Scientist?

AspectOn Call Data Scientist ExperimentationData Scientist
CredentialsTypically requires a master's or PhD in data science, statistics, or related fieldsSimilar educational background, often with additional certifications or experience
Work EnvironmentOften on-demand, supporting experimentation projects across teams, flexible hoursRegular office hours, working on ongoing data analysis and modeling tasks
Employer & Industry UsageUsed in tech, e-commerce, and consulting firms for rapid experimentation supportCommon across industries for data analysis, modeling, and strategic insights

In summary, On Call Data Scientist Experimentation focuses on providing immediate, project-based support for experimentation efforts, often with flexible hours. In contrast, Data Scientists typically work on continuous data analysis and modeling within a structured schedule. Both roles require similar credentials but differ mainly in scope and work environment.

What does an On Call Data Scientist Experimentation do?

An On Call Data Scientist Experimentation is responsible for designing, executing, and analyzing experiments—such as A/B tests—to help organizations make data-driven decisions. They are available on an as-needed basis, often to address urgent issues, analyze experiment results, or troubleshoot problems in ongoing tests. Their work ensures that business strategies are informed by reliable, statistically sound data, and they often collaborate with product, engineering, and analytics teams to optimize processes and outcomes.

How does an On Call Data Scientist Experimentation typically collaborate with product and engineering teams during the experiment lifecycle?

On Call Data Scientist Experimentation roles work closely with product managers and engineers throughout the experiment lifecycle. They help design experiments, ensure accurate implementation, and analyze results to guide data-driven decisions. Regular communication is essential, as data scientists must translate technical findings into actionable insights for cross-functional teams. This collaborative environment fosters rapid iteration and ensures experiments align with business goals.
More about On Call Data Scientist Experimentation jobs
What cities are hiring for On Call Data Scientist Experimentation jobs? Cities with the most On Call Data Scientist Experimentation job openings:
What are the most commonly searched types of Data Scientist Experimentation jobs? The most popular types of Data Scientist Experimentation jobs are:
What states have the most On Call Data Scientist Experimentation jobs? States with the most job openings for On Call Data Scientist Experimentation jobs include:
What job categories do people searching On Call Data Scientist Experimentation jobs look for? The top searched job categories for On Call Data Scientist Experimentation jobs are:
On Call Data Scientist Experimentation jobs near you
Infographic showing various On Call Data Scientist Experimentation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Staff Data Scientist - Experimentation & Measurement

PlayStation Global

San Mateo, CA • On-site

$212K - $318K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 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.
Staff Data Scientist - Experimentation & Measurement
San Mateo, CA (Hybrid)
Overview:
As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You'll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products.
What You'll Be Doing:
  • Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn't feasible.
  • Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company's senior leadership.
  • Mentor and guide other Data Scientists, providing thought leadership and technical direction.
  • Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication.
  • 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.
  • Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem.

Basic Requirements:
  • Bachelor's degree or equivalent.
  • 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD).
  • Deep expertise in A/B testing and causal inference, including quasi-experimental methods.
  • Proficiency in SQL and Python for data extraction, transformation, and analysis.
  • Broad and applied knowledge of statistical techniques.
  • Experience with machine learning modeling is a plus.
  • 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. Click here to learn more.
The estimated base pay range for this role is listed below.
$212,200-$318,200 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 our Candidate Privacy Notice for 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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