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Data Scientist, D2C Data Science (Payments)

11 950 - 17 917$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Scientist, D2C Data Science (Payments): Developing statistical analyses, machine learning models, and experimentation frameworks for hirify.global payment and subscription experiences with an accent on payment performance, subscription recovery, and ROI-based measurement. Focus on optimizing global payment flows, modeling customer behavior, and translating complex data into decisions that improve player experience and business performance.

Location: Hybrid role based in San Diego, California, United States

Salary: $143,400–$215,000 USD base pay, with potential bonus eligibility

Company

hirify.global is the gaming and digital entertainment brand of Sony Interactive Entertainment, delivering hardware, network services, commerce, subscriptions, and player experiences to more than 100 million people.

What you will do

  • Apply data science methods to payments, subscriptions, commerce, lifecycle experiences, and player-facing services.
  • Design and analyze A/B tests, holdouts, quasi-experiments, and other measurement approaches.
  • Analyze payment success, authorization performance, payment funnels, routing, retries, cost tradeoffs, and subscription recovery.
  • Build forecasting, segmentation, propensity, retention, payment success, and offer-performance models.
  • Use SQL and Python to create validated, reproducible analytical workflows.
  • Partner with product, engineering, finance, marketing, operations, and data engineering teams to communicate actionable recommendations.

Requirements

  • 3+ years of professional experience in data science or machine learning.
  • Bachelor’s degree in statistics, mathematics, computer science, engineering, data science, or a related quantitative field, or equivalent experience.
  • Strong SQL and Python skills for data extraction, validation, analysis, modeling, and reproducible workflows.
  • Solid foundation in statistics, experimental design, machine learning, and predictive modeling.
  • Experience applying data science to ambiguous commercial, customer, payment, subscription, or operational problems.
  • Ability to communicate technical findings clearly to technical and non-technical partners.

Nice to have

  • Experience in digital commerce, payments, billing, subscriptions, fintech, marketplaces, gaming, media, or scaled consumer technology.
  • Experience with payment optimization, authorization analysis, routing, retry strategies, payment telemetry, or subscription recovery.
  • Experience with causal inference, forecasting, segmentation, churn, retention, lifecycle analytics, or ROI-based evaluation.
  • Experience with Snowflake, Databricks, Spark, BigQuery, metric layers, or source-of-truth datasets.

Culture & Benefits

  • Hybrid work policy with compensation adjusted based on role-related factors and location.
  • Medical, dental, and vision coverage.
  • Matching 401(k) and paid time off.
  • Wellness program and employee discounts on Sony products.
  • Inclusive workplace with equal-opportunity and fair-chance employment practices.

Hiring process

  • Background checks are conducted at the offer stage and may include criminal background checks for some roles.

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