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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятный продуктовый фокус, актуальные задачи в data science и доступ к большой аудитории финтех-продукта; многоэтапный отбор потребует заметных усилий.
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Длинный отборАктуальные технологииВлияние на продуктМасштаб аудиторииПоддержка развития
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist (Fintech): Developing data solutions, experiments, and AI-driven decision systems for financial products with an accent on machine learning, predictive analytics, and product experimentation. Focus on analyzing user behavior, investigating anomalies, measuring business outcomes, and deploying solutions that improve revenue and reduce costs.
Location: Hybrid, Kuala Lumpur, Malaysia
Company
hirify.global develops cybersecurity, online privacy, identity protection, and financial wellness products through brands including Norton, Avast, LifeLock, and MoneyLion.
What you will do
Analyze user interactions and product performance to identify insights, trends, anomalies, root causes, and opportunities.
Design, build, validate, deploy, and monitor experiments and data solutions for fraud, credit underwriting, user experience optimization, and other business problems.
Apply, develop, and refine AI and machine learning algorithms to deliver business value, increase revenue, and reduce costs.
Communicate findings to stakeholders, collaborate with product owners, engineers, data engineers, and machine learning teams, and influence product roadmaps.
Develop dashboards, recommend success metrics, and improve data collection processes.
Support data-driven decision-making across the organization.
Requirements
Strong mathematical, statistical, or actuarial background.
Hands-on experience with machine learning, predictive analytics, and statistical modeling.
Proficiency in Python and SQL.
Problem-solving ability using both established methods and novel approaches.
Demonstrable experience with data visualization.
Excellent verbal and written communication skills.
Nice to have
Proficiency with A/B testing and experimentation frameworks.
Knowledge of data structures, data modeling, software architecture, and machine learning algorithms.
Culture & Benefits
Flexible working options, time off, competitive pay, benefits, and well-being programs.
Support for continuous learning, experimentation, healthy debate, and career growth.
Inclusive environment with an emphasis on collaboration, respect, and diverse perspectives.
Opportunity to work with AI as a teammate and contribute to products serving millions of users.
Hiring process
Online technical test.
Take-home assessment.
Interview and discussion of the take-home assessment with the hiring manager, conducted virtually or face-to-face.
Bar Raiser interview where needed.
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