Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$194к-263к/год
$210к$230кмедиана$250к
По похожим ролям (48) ~ $230к/год
На СНГ рынке: $4.2к/мес ($3.2к - $4.4к)
88
Крутая вакансия
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Чётко очерченная роль Staff Data Scientist в известной финтех-компании с фокусом на аналитику роста и эксперименты.
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Актуальные технологииПонятная зона ответственностиФинтех-сектор
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Data Scientist - Product Growh (Product Growth/Data Science): Developing data-driven growth strategies, customer journey analytics, and targeted experiments for Intuit’s product ecosystem with an accent on causal inference, advanced statistical modeling, and machine learning. Focus on designing rigorous experiments, identifying high-impact growth hypotheses, and translating analytical insights into product enhancements across cross-functional teams.
Location: Mountain View or San Diego, California, United States
Salary: Mountain View $194,000–$262,500 annual base pay
Company
hirify.global is a global financial technology platform powering products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.
What you will do
Help shape the data science roadmap for product funnel optimization and scalable product growth initiatives.
Apply causal inference, advanced statistical modeling, and machine learning to generate actionable insights.
Develop an integrated view of customer journeys and business metrics to identify growth opportunities.
Design, implement, and analyze targeted experiments to validate growth hypotheses.
Partner with Product, Engineering, Design, and other functions to turn insights into product improvements.
Improve instrumentation, data quality, and logging, while serving as a technical subject-matter expert in Product Growth.
Requirements
5+ years of experience in data science or analytics, including a proven record of using advanced analytical methods to drive product and business growth.
Proficiency in causal inference, statistical modeling, machine learning, and experimental design.
Advanced skills in SQL, Python, R, and other analytical tools.
Practical experience with data visualization platforms such as Tableau or Power BI.
Ability to quickly understand new business areas and master the essential data and metrics for decision-making.
Excellent communication and storytelling skills, with experience influencing technical and non-technical stakeholders through data-driven insights.
Customer-centric mindset, empathy for customers, and commitment to improving customer experiences.
Agile, entrepreneurial approach combining long-term strategy with rapid, iterative experimentation.
Nice to have
Experience with data integration and pipeline development.
Culture & Benefits
Cross-functional collaboration across Product, Engineering, Design, and other teams.
Competitive compensation with a pay-for-performance rewards approach.
Position may be eligible for a cash bonus, equity rewards, and benefits under applicable plans and programs.
Base pay varies according to job-related knowledge, skills, experience, and work location.
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