Sr. Data Scientist - Experimentation & Measurement (San Mateo) Job at Sony, San Mateo, CA

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  • Sony
  • San Mateo, CA

Job Description

Sr. Data Scientist - Experimentation & Measurement

United States, San Mateo, CA

Why PlayStation?

PlayStation isnt just the Best Place to Play its also the Best Place to Work. Today, were recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, 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.

Sr. Data Scientist - Experimentation & Measurement

San Mateo, CA

Overview:

As a Sr. 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 practicesbringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across PlayStation.

What Youll 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 isnt 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 teams work.

Basic Requirements:

Masters 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.

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Please refer to ourCandidate 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 roles 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 SIEs 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

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.

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What is your highest degree, field of study, and the university from which you obtained it? (Example: M.S. in Statistics, Stanford University) *

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Please rate your level of experience or knowledge in the following areas (choose one: Some knowledge / Solid theoretical knowledge / Solid knowledge and experience / Expert):o Statistics and Analyticso Machine Learning Modelingo Causal Inferenceo A/B Testing and Experiment Measuremento Python Programmingo SQL *

US Voluntary Demographic Question

Voluntary Self-Identification

Our vision at PlayStation is to bring out the best in our global team members by creating a sense of belonging, being a place where they can grow, and ensuring everyone feels valued, heard, and supported so we can push the boundaries of play. That vision begins our candidates, and we are working to better understand the diversity of our candidate population.

This data will also be aggregated and sent to the government for reporting purposes. Please know that the completion of this form is entirely voluntary. Your personally identifiable information (name, address, etc) will not be considered in the hiring process or thereafter. Any information that you choose to provide will be recorded and maintained in a confidential file for XX time.

Protected Veteran

You are a protected veteran under United States law if any of the following apply to you:

  • Disabled Veteran: a veteran of the U.S. military who is entitled to compensation (or who would be entitled to compensation if not for the receipt of military retired pay) under the administration of the Secretary of Veterans Affairs and/or a person who was discharged or released from active duty because of a service-connected disability.
  • Recently Separated Veteran: a veteran who has discharged or released from active duty in the U.S. military within the last three years.
  • Armed Forces Service Medal Veteran: a veteran who, while serving on active duty in the U.S. military, participated in a U.S. military operation for which an Armed Forces Service Medal was awarded pursuant to Executive Order 12985.

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Under U.S. law, you are considered to have a disability if you have a physical or mental impairment or medical condition that substantially limits a major life activity, or if you have a history or record of such an impairment or medical condition.

Identifying yourself as an individual with a disability is voluntary, and we hope that you will choose to do so. Your answer will be maintained confidentially and will not be seen by selecting officials or anyone else involved in making personnel decisions, nor will it be shared with our accommodations team . Completing the form will not negatively impact you in any way, regardless of whether you have self-identified in the past.

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Job Tags

Full time, Immediate start, Visa sponsorship, Relocation package,

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