PlayStation Logo

PlayStation

Senior Data Scientist -  Experimentation & Measurement

Posted 15 Days Ago
Remote
Hiring Remotely in United States
179K-268K Annually
Senior level
Remote
Hiring Remotely in United States
179K-268K Annually
Senior level
Lead experimentation in user migration and marketing strategies, applying advanced statistical techniques and causal inference methods to drive business decisions.
The summary above was generated by AI

Why PlayStation?

PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.

PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.

The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.

Senior Data Scientist -  Experimentation & Measurement

San Mateo, 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:
 
  • Master’s or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered.
     

  • 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.
     

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


#LI-KC

Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights.


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.
$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 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. 

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


Top Skills

Data Science Libraries
Python
SQL
Statistical Libraries

Similar Jobs

4 Minutes Ago
Remote
United States
173K-233K Annually
Senior level
173K-233K Annually
Senior level
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
The role involves strategic planning and execution in talent management, focusing on innovation, cross-functional partnership, and change management while managing a team and talent data insights.
Top Skills: Ai TechnologiesGoogle SuiteExcelTableauWorkday
9 Minutes Ago
Remote or Hybrid
Boston, MA, USA
204K-255K Annually
Senior level
204K-255K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
The Principal Product Manager for Pricing & Monetization will lead strategic initiatives, define pricing models, and analyze market trends to enhance revenue growth.
Top Skills: B2B Enterprise Saas
9 Minutes Ago
Remote or Hybrid
Detroit, MI, USA
26-26 Hourly
Internship
26-26 Hourly
Internship
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
As an Accounting Intern, you will validate, enter, reconcile, and audit financial information, assist in projects, and interact with various business functions.
Top Skills: Microsoft AccessExcelMicrosoft PowerpointMicrosoft Word

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account