Data Science Manager, Payments & Subscriptions (Remote)

Sony Interactive Entertainment Inc.

San Diego (CA)

Hybrid

USD 186,000 - 279,000

Full time

6 days ago
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Benefits offered by this job

Medical, dental, vision
401(k) matching
Paid time off
Employee discounts for Sony products

Job summary

Sony Interactive Entertainment Inc. in San Diego, CA is seeking a Data Science Manager to lead a focused team optimizing how players pay, subscribe, and recover from payment issues.

You will own the scientific roadmap, mentor data scientists, and collaborate with product, engineering, and finance to turn business questions into evidence-based decisions. The role is technically engaged and requires strong expertise in experimentation, causal inference, and decision science, with a focus on

Qualifications

  • 6+ years of experience in data science, statistics, ML, or related quantitative field.
  • 2+ years in people management or technical leadership with mentoring responsibility.
  • Strong background in experimentation, causal inference, metric design, and decision science.
  • Fluency with SQL and Python; ability to review code and guide analyses.
  • Bachelor's degree or equivalent in a quantitative field.

Responsibilities

  • Lead, hire, onboard, and develop a team of data scientists supporting commerce, payments, subscriptions, and lifecycle.
  • Own the team's roadmap, intake, prioritization, and stakeholder alignment.
  • Partner with business and technical leaders to define decisions, hypotheses, success metrics, and plans.
  • Guide experimentation, forecasting, and modeling to improve payments and subscription outcomes.
  • Review designs, data quality, metrics, and model assumptions; mentor junior staff.
  • Communicate recommendations and impact to partners.

Skills

Data science
Experimentation
Causal inference
Python
SQL
Leadership
Communication

Education

Bachelor's degree or equivalent

Tools

Python
SQL

Job description

Sony Interactive Entertainment Inc. in San Diego, CA is seeking a Data Science Manager to lead a focused team optimizing how players pay, subscribe, and recover from payment issues.

You will own the scientific roadmap, mentor data scientists, and collaborate with product, engineering, and finance to turn business questions into evidence-based decisions. The role is technically engaged and requires strong expertise in experimentation, causal inference, and decision science, with a focus on

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