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6 дней назад

Senior Data Scientist (Payments)

180 000 - 205 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Scientist (Payments): Building data science capabilities for PlayStation payment, subscription, commerce, fraud, and risk experiences with an accent on experimentation, causal inference, statistical modeling, and machine learning. Focus on optimizing payment flows, evaluating subscription recovery and business interventions, and translating complex evidence into product and business decisions.

Location: San Diego, United States

Annual base salary: $180,000–$205,000

Company

hirify.global develops entertainment and technology products and operates the hirify.global Engagement Platform Services supporting digital engagement across games, anime, music, film, and live experiences.

What you will do

  • Lead high-impact data science initiatives across payments, subscriptions, commerce, fraud, risk, and player experience.
  • Design experimental, causal-inference, statistical-modeling, and machine-learning approaches for complex business decisions.
  • Develop scalable models, measurement frameworks, reusable metrics, and analytical capabilities.
  • Analyze payment method performance, payment flow optimization, subscription payment recovery, customer behavior, and ROI of business interventions.
  • Advise senior technical and business stakeholders on opportunities, risks, investment tradeoffs, and expected outcomes.
  • Provide technical leadership through mentorship, peer review, methodology development, and cross-functional guidance without direct people management.

Requirements

  • 5+ years of professional experience in data science, applied statistics, machine learning, or a related quantitative discipline.
  • Bachelor’s or advanced degree in a quantitative field, or equivalent practical experience.
  • Advanced SQL and Python skills.
  • Deep expertise in experimentation, causal inference, statistical modeling, machine learning, and model evaluation.
  • Experience leading complex data science initiatives from problem framing through operationalization and impact measurement.
  • Ability to influence senior technical and business stakeholders and improve data science practices across teams.

Nice to have

  • Experience in payments, subscriptions, digital commerce, fintech, gaming, media, marketplaces, or scaled consumer technology.
  • Expertise in payment optimization, subscription analytics, forecasting, segmentation, churn, retention, or customer lifetime value.
  • Experience with Snowflake, Databricks, Spark, or BigQuery.
  • Experience creating metric layers, source-of-truth datasets, analytical frameworks, or reusable data science tooling.
  • Advanced degree in a quantitative field.

Culture & Benefits

  • Medical, prescription drug, dental, and vision coverage with HSA and FSA options.
  • Behavioral health, fertility, surrogacy, adoption, life insurance, and disability benefits.
  • Up to 12 weeks of paid parental and caregiver leave.
  • 401(k) plan with company match and immediate vesting.
  • Vacation, paid holidays, sick leave, Summer Fridays, and a winter break.
  • Education assistance, student loan programs, employee stock purchase plan, product discounts, and employee business resource groups.

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