Job Application for Data Scientist 3 at PlayStation Global

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 Corporation.

Overview:

Using data, you will play a crucial role in driving decision making and delivering impactful insights to our stakeholders at SIE. You will be responsible for applying advanced analytical techniques, building machine learning models, and using causal inference methods to solve sophisticated business problems related to platform engagement, product features, and first-party games!

What you’ll be doing:

Apply advanced statistical and machine learning techniques to analyse large and complex datasets, extracting actionable insights in a commercial setting
Apply your knowledge in causal inference, machine learning, 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
Provide thought-leadership in ongoing financial measurement and analysis of SIE’s services; Identify new insights and opportunities for analytics projects!
Promote and share the team's work, methods, and skills in data science, causal inference, and machine learning with team members and the broader SIE community
Stay up to date on the latest advancements in the field of data science (including causal inference and machine learning) and share knowledge and new ideas with team.

What we’re looking for:

Knowledge of gaming industry and relevant gaming titles
5+ years of advanced SQL required
5+ years of experience using statistical packages (R or Python) for model development
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
Master's Degree or Ph.D. in Applied Math, Economics, Statistics, or Engineering preferred. BA/BS Degree in Mathematics, Applied Math, Statistics, Computer Science is a minimum requirement
In-depth understanding and experience using supervised and non-supervised machine learning 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
Experience with standard BI Tools (Tableau, MicroStrategy, etc.).

Benefits:

Discretionary bonus opportunity
Hybrid Working (within Flexmodes)
Private Medical Insurance
Dental Scheme
25 days holiday per year
On Site Gym
Subsidised Café
Free soft drinks
On site bar
Access to cycle garage and showers

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.

First Name

Last Name

Phone

Resume/CV*

Accepted file types: pdf, doc, docx, txt, rtf

Cover Letter

Accepted file types: pdf, doc, docx, txt, rtf

LinkedIn Profile

Website

What are your salary expectations?

What is your current notice period?

Select...

Depending upon where you are currently living, it may be necessary for you to relocate if you are appointed to this role. In order that we can ensure that we promptly provide any appropriate relocation support, please confirm the location at which you currently reside.

Select...

If other, please provide.

Have you previously worked for Sony?

Select...

How did you hear about this job?

Select...

If Employee Referral, please provide the name of the employee who referred you.

Do you wish to be considered for other roles?

Select...

Do you hold the right to work in the UK?

Select...

If Other, please provide additional information regarding your right to work in the UK.

UK Diversity & Inclusion - Voluntary Equal Opportunity Monitoring

Sony Interactive Entertainment Europe Limited (‘SIEE’) is committed to ensuring that all job applicants and members of staff are treated equally, without discrimination because of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age. Collecting diversity data is intended to help SIEE maintain equal opportunities best practice and identify barriers to workforce equality and diversity. Please read this notification and consent before you decide whether to submit your diversity data in the survey below.

SIEE will treat all survey responses in the strictest confidence, and our personnel with decision-making role in the recruitment process can only see aggregated reports on the results of the survey and cannot allocate these aggregated reports to individual applicants. There is no obligation on you to provide diversity data, SIEE will treat all applicants the same regardless of whether they provide diversity data or not, and any responses to the survey will not affect our decision on your application.

You can withdraw your consent at any time. The withdrawal of your consent does not affect the lawfulness of the processing of your diversity data based on your consent before its withdrawal.

Please tick this box to confirm that you explicitly consent to providing the diversity data below, including the below sensitive information on your racial or ethnic origin, your sexual orientation and your gender identity, and to SIEE using this data as

Select...

How would you describe your gender identity?

Select...

How would you describe your nationality and/or ethnicity?

Select...

Do you identify as transgender?

Select...

How would you describe your sexual orientation?

Select...

Data Scientist 3

Overview:

What you’ll be doing:

What we’re looking for:

Benefits:

Apply for this job

UK Diversity & Inclusion - Voluntary Equal Opportunity Monitoring