Causal Insights Scientist β€” Incremental Player Value

Causal Insights Scientist β€” Incremental Player Value

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Segment (Twilio)

At a Glance

  • Tasks: Use causal inference methods to measure and optimise player value for PlayStation.
  • Company: Join Sony Interactive Entertainment, a leader in gaming innovation.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
  • Other info: Collaborate with diverse teams in a dynamic and creative environment.
  • Why this job: Make a real impact on player experiences and shape the future of gaming.
  • Qualifications: Experience in causal analysis and a passion for gaming.

The predicted salary is between 60000 - 80000 Β£ per year.

Sony Interactive Entertainment is seeking a Causal Insights Specialist to help transform how PlayStation measures and optimises player value by identifying the true impact of products, features, and commercial interventions on long-term player outcomes.

You will apply causal inference methods, design experiments, and collaborate with cross-functional teams to embed causal insights into decision-making processes and resource allocation.

Causal Insights Scientist β€” Incremental Player Value employer: Segment (Twilio)

Join a forward-thinking company in Glenrothes or Livingston as a Principal Hardware Engineer, where you will be empowered to lead innovative power electronics designs and mentor a talented team. With a strong commitment to employee growth, competitive salaries, and a flexible working environment, we offer a culture that values collaboration and technical excellence. Enjoy unique benefits such as enhanced family policies, generous holiday allowances, and opportunities for community engagement through paid volunteering days.

Segment (Twilio)

Contact Details:

Segment (Twilio) Recruitment Team

We think you need these skills to ace Causal Insights Scientist β€” Incremental Player Value

Causal Inference Methods
Experimental Design
Data Analysis
Collaboration Skills
Decision-Making
Resource Allocation
Cross-Functional Teamwork