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1 день назад

Senior Data Scientist (Payment Analytics)

176 356 - 329 334$
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 (Payment Analytics) (Python/Hive/SQL): Developing analytics, forecasting, and machine learning capabilities for secure TikTok payment solutions with an accent on risk analysis, KPI measurement, and payment threat protection. Focus on designing backtests and experiments, diagnosing payment performance, and translating large-scale data into recommendations for product, operations, strategy, and engineering teams.

Location: San Jose, United States; fully in-person schedule up to 5 days a week

Salary: $176,356–$329,334 annually, with potential discretionary bonuses, incentives, and restricted stock units.

Company

hirify.global operates data privacy, cybersecurity, trust and safety, and payment solutions for TikTok's U.S. platform and users.

What you will do

  • Develop analytics and reporting initiatives for strategy, operations, business, engineering, and R&D stakeholders.
  • Analyze large datasets using regression, machine learning, hypothesis testing, and other statistical approaches.
  • Measure KPI fluctuations, business initiative impact, and customer experience through indexes and continuous monitoring.
  • Design foundational tests and backtesting to evaluate credit risk strategies and segment user profiles.
  • Build predictive analyses and support revenue, loss, budgeting, risk, and incident forecasts.
  • Diagnose patterns, correlations, concentrations, and root causes in payment and product performance while partnering with cross-functional teams.

Requirements

  • 3+ years of experience in data science, risk, machine learning, and A/B testing.
  • Professional coding experience with Python, Hive, and SQL.
  • Familiarity with machine learning functions, forecasting models, and statistical analysis.
  • Experience with Tableau or another data visualization tool.
  • Ability to manipulate and integrate data from multiple sources and document sampling, assumptions, test design, metrics, and conclusions.
  • Ability to work fully in person in San Jose up to 5 days per week.

Nice to have

  • Payments industry knowledge.
  • Risk analytics or operations experience in financial services, e-commerce, or operational performance.
  • Strong proficiency in test design, feature creation, and model development.

Culture & Benefits

  • Medical, dental, and vision insurance from day one.
  • 401(k) savings plan with company match.
  • Paid parental leave, disability coverage, life insurance, and wellbeing benefits.
  • 10 paid holidays, 10 paid sick days, and 17 days of paid personal time.
  • Inclusive workplace focused on creativity, curiosity, collaboration, and continuous learning.

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