Data Scientist II - Decision Science
United States, San Mateo, CA
- Pay
USD 156,300–234,500/yearAnnual period assumed — pay source
The estimated base pay range for this role is listed below. $156,300—$234,500 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.
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingAnalyse large, complex datasets with statistical and ML techniques
Design and run experiments to test business hypotheses
Build predictive models and identify causal relationships
Extract and integrate data from multiple systems using complex SQL
Present findings to stakeholders as clear recommendations
From the employer’s posting
Apply advanced statistical and ML techniques to analyse large and complex datasets
design experiments to test them
develop robust predictive models and identify causal relationships
Independently extract and integrate data from multiple data systems, including writing complex SQL queries
translating complex analyses into clear and actionable recommendations
What you’ll bring
All qualificationsCore experience
- Master's or PhD in applied math, economics, statistics, engineering or similar; BA/BS may be considered with experience
- At least 2 years of relevant industry experience
- Advanced experience applying ML methods in Python and SQL
- Experience with supervised and unsupervised ML techniques
- Excellent communication and data storytelling skills
Qualification wording
Master's Degree or Ph.D. in Applied Math, Economics, Statistics, Engineering, or a related quantitative field
at least 2 years of relevant industry experience
Advanced knowledge and experience applying ML methods using Python and SQL
In-depth understanding and experience using supervised and unsupervised ML techniques
Excellent communication and data storytelling skills
Education & alternatives
What we’re looking for: - Master's Degree or Ph.D. in Applied Math, Economics, Statistics, Engineering, or a related quantitative field, plus at least 2 years of relevant industry experience, ideally in entertainment, gaming, technology, or a related consumer-facing industry. A BA/BS Degree may also be considered based on additional relevant industry experience. - Advanced knowledge and experience applying ML methods using Python and SQL.
Tools in this posting
- Python
- SQL
- Airflow
Source — Tool mentions in context
- Master's Degree or Ph.D. in Applied Math, Economics, Statistics, Engineering, or a related quantitative field, plus at least 2 years of relevant industry experience, ideally in entertainment, gaming, technology, or a related consumer-facing industry. A BA/BS Degree may also be considered based on additional relevant industry experience. - Advanced knowledge and experience applying ML methods using Python and SQL. - Familiarity with common development tools and practices, including version control systems (e.g., Git) and workflow management tools (e.g., Airflow).
- Collaborate with cross-functional teams to define business problems, formulate hypotheses, and design experiments to test them. - Independently extract and integrate data from multiple data systems, including writing complex SQL queries, to support analytical efforts. - Support the delivery of results and presentations to stakeholders, translating complex analyses into clear and actionable recommendations.
- Advanced knowledge and experience applying ML methods using Python and SQL. - Familiarity with common development tools and practices, including version control systems (e.g., Git) and workflow management tools (e.g., Airflow). - Excellent communication and data storytelling skills, with the ability to effectively communicate technical concepts to non-technical partners.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 31, 2026 · 58 days ago
- Recorded sightings
- 89
- Last seen by us
- Oct 28, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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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.
Using data, you will play a crucial role in driving decision-making and delivering impactful insights to our stakeholders. You will apply advanced analytical techniques, build Machine Learning (ML) models, and use experimentation and causal inference methods to solve sophisticated business problems related to platform engagement, product features, and games.
What you’ll be doing:
- Apply advanced statistical and ML techniques to analyse large and complex datasets, extracting actionable insights in a commercial setting.
- Apply your knowledge of Experimentation, Causal Inference, ML, and statistical modelling to develop robust predictive models and identify causal relationships.
- Collaborate with cross-functional teams to define business problems, formulate hypotheses, and design experiments to test them.
- Independently extract and integrate data from multiple data systems, including writing complex SQL queries, to support analytical efforts.
- Support the delivery of results and presentations to stakeholders, translating complex analyses into clear and actionable recommendations.
- Stay up to date on the latest advancements in Data Science, including Causal Inference, Gen AI, and ML, and share knowledge and new ideas with the team.
What we’re looking for:
- Master's Degree or Ph.D. in Applied Math, Economics, Statistics, Engineering, or a related quantitative field, plus at least 2 years of relevant industry experience, ideally in entertainment, gaming, technology, or a related consumer-facing industry. A BA/BS Degree may also be considered based on additional relevant industry experience.
- Advanced knowledge and experience applying ML methods using Python and SQL.
- Familiarity with common development tools and practices, including version control systems (e.g., Git) and workflow management tools (e.g., Airflow).
- Excellent communication and data storytelling skills, with the ability to effectively communicate technical concepts to non-technical partners.
- In-depth understanding and experience using supervised and unsupervised ML techniques.
- Understanding of Online Experimentation (large-scale A/B tests) and Causal Inference methods is a plus
- Knowledge of the gaming industry and relevant gaming titles is a plus.
- Familiarity with Gen AI tools and pipelines is a plus.
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.
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.
Source details
Source notes
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- Pay
The estimated base pay range for this role is listed below. $156,300—$234,500 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.
- Location & working pattern
United States, San Mateo, CA
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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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