Staff Data Scientist - Experimentation & Measurement

Sony Playstation; United States; Hybrid; USD 212,200 - 318,200; Full time

Benefits offered by this job

Medical, dental, vision

401(k) matching

Paid time off

Employee discounts

Hybrid work policy

Job summary

Sony Interactive Entertainment is seeking a Staff Data Scientist in the Experimentation & Measurement space to lead design and interpretation of experiments that evaluate key initiatives. You will partner with product, engineering, and marketing teams to drive data-driven decisions and mentor others in advanced causal inference methods.

This role requires deep expertise in A/B testing, SQL, Python, and statistical techniques, with strong communication to senior leadership and a passion for

Qualifications

• Bachelor's degree or equivalent.
• 6+ years in a data science experimentation/causal inference 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.
• Master's or PhD in Statistics, Economics, or Econometrics; other quantitative degrees may be considered.

Responsibilities

• Design, execute, and interpret A/B tests and quasi-experiments; apply advanced causal inference when needed.
• Partner with cross-functional teams to embed experimentation into development and iteration cycles and communicate results to senior leadership.
• Mentor and guide other Data Scientists; provide technical direction.
• Lead best-practice discussions on hypothesis development, metric selection, test structure, and results communication.
• Help define centralized experimentation frameworks, tools, and documentation to scale best practices.
• 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 to drive decisions.
• Stay current on new methodologies in experimentation and causal analysis.

Skills

A/B testing

Causal inference

SQL

Python

Statistical analysis

Machine learning

Influence decisions

Experimentation frameworks

Education

Bachelor's degree

PhD preferred

Tools

Experimentation frameworks

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

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.

asic 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.

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.

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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.