Enable job alerts via email!
Boost your interview chances
Create a job specific, tailored resume for higher success rate.
Join a forward-thinking company as a Data Scientist II, where you'll leverage advanced analytical techniques and machine learning to drive impactful insights. This role is pivotal in shaping decision-making processes across the organization. You'll collaborate with cross-functional teams, apply your expertise in causal inference and statistical modeling, and stay abreast of the latest advancements in data science. If you're passionate about innovation and technology and want to make a significant impact in the gaming industry, this opportunity is perfect for you.
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 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.
Data Scientist II
The person in this role will be joining the Decision Science team, which is a part of the larger Data Science, Analytics, & Enablement (DSAE) organization here at SIE. Using data, you will play a crucial role in driving decision-making and delivering impactful insights to our stakeholders. You will be responsible for applying advanced analytical techniques, building Machine Learning (ML) models, and using causal inference methods to solve sophisticated business problems related to platform engagement, product features, and games.
Apply advanced statistical and ML techniques to analyze large and complex datasets, extracting actionable insights in a commercial setting.
Apply your knowledge in 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 these hypotheses.
Independently extract and integrate data from multiple data systems (including writing complex SQL queries) to support analytical efforts.
Participate and support in delivering results and presentations to stakeholders.
Promote and share the team's work, methods, and skills in Data Science, Causal Inference, and ML with team members and the broader community.
Stay up to date on the latest advancements in the field of 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. BA/BS Degree could be considered based on 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 Causal Inference methods (such as propensity score matching, synthetic control methods, and difference-in-differences) for accurately estimating causal relationships.
Proficiency in designing and performing hypothesis tests to validate or reject research hypotheses.
Knowledge of the gaming industry and relevant gaming titles is a plus.
Familiarity with Gen AI tools and pipelines is a plus.
#LI-GD1
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 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.
$140,600 - $210,800 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.
*
indicates a required field
First Name *
Last Name *
Email *
Phone *
Resume/CV *
Enter manually
Accepted file types: pdf, doc, docx, txt, rtf
Enter manually
Accepted file types: pdf, doc, docx, txt, rtf
LinkedIn Profile
Website
Have you ever worked for a Sony company previously? * Select...
Are you authorized to work in the United States? * Select...
Will you now, or in the future, require sponsorship to work in the United States? * Select...
Will you need relocation assistance to work at this role's specified location? * Select...
Are you related to, or in a close personal relationship with, anyone who currently works for SIE or any SIE-affiliated studios? (This includes spouses, domestic partners, and significant others.) * Select...
If yes, please state their name, the department or studio they work for, and their job title (if you know it).
By selecting "Yes", I am certifying that, to the best of my knowledge, the information I have provided in this employment application is true and correct. * Select...
What is your highest degree, field of study, and the university from which you obtained it?(Example: M.S. in Statistics, Stanford University) *
Please rate your level of experience or knowledge in the following areas (Some knowledge / Solid theoretical knowledge / Solid knowledge and Experience / Expert):1. Statistics and Analytics.2. Machine Learning Modeling.3. Causal Inference.4. A/B Testing and Experiment Measurement.5. Python Programming.6. SQL. *
(Optional): Briefly describe a project where you applied machine learning or statistical modeling to solve a business problem
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:
Disability
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.