Applied Data Scientist - ML, Causal Inference & Gaming

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

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.