Data Scientist (Decision Science)

PlayStation; San Mateo (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

PlayStation is seeking a data scientist to drive decision-making with advanced analytics. You will build ML models, apply causal inference, and design experiments to tackle platform engagement, product features, and games.

You will collaborate with cross-functional teams, extract data from multiple systems, and translate complex analyses into clear business recommendations. NY or CA-based positions preferred.

Qualifications

• Master’s or PhD in Applied Math, Economics, Statistics, Engineering, or a related quantitative field
• 2+ years of industry experience in data science, entertainment, gaming, technology, or related consumer-facing industry

Responsibilities

• Use data to drive decision-making for stakeholders
• Apply ML, experimentation, and causal inference to business problems
• Collaborate with cross-functional teams to define problems and design experiments
• Extract and integrate data from multiple systems using complex SQL queries
• Present results and actionable recommendations to stakeholders

Skills

Data storytelling

ML techniques

Gen AI familiarity

Gaming knowledge

Python & SQL

Experimentation

Causal inference

Git

Airflow

Education

Master’s or PhD in quantitative field

Tools

Python

SQL

Git

Airflow

Job description

• 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
• 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

Excellent communication and data storytelling skills, with the ability to effectively communicate technical concepts to non-technical partnersIn-depth understanding and experience using supervised and unsupervised ML techniquesFamiliarity with Gen AI tools and pipelines is a plusKnowledge of the gaming industry and relevant gaming titles is a plusAdvanced knowledge and experience applying ML methods using Python and SQLUnderstanding of Online Experimentation (large-scale A/B tests) and Causal Inference methods, such as propensity score matching, synthetic control methods, and difference-in-differences, for accurately estimating causal relationshipsFamiliarity with common development tools and practices, including version control systems (e.g., Git) and workflow management tools (e.g., Airflow)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