pythonsqldata sciencestatisticsmachine learninga b testingforecastingstartupcausal inferencerisk analyticsrevenue optimization
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$125к-145к/год
$170к$200кмедиана$220к
По похожим ролям (47) ~ $200к/год
На СНГ рынке: $4.2к/мес ($3.6к - $4.4к)
58
Средняя вакансия
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Роль дает заметное влияние на аналитику доходов и продуктовые решения, но зарплата существенно ниже рыночного ориентира, а зона ответственности для senior-позиции широкая.
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Ниже рынкаШирокая зона задачАктуальный стекВлияние на бизнесАкции стартапа
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Scientist, Revenue & Risk Analytics (Revenue Optimization/Risk Analytics): Developing data-driven strategies, analytics pipelines, and product recommendations to grow and recover revenue with an accent on experimentation, causal inference, forecasting, and machine learning. Focus on designing risk and pricing programs, improving coverage accuracy, influencing product roadmaps, and translating analytical findings into business impact.
Location: Remote, US
Salary: $125,000–$145,000 per year, salaried
Company
hirify.global provides AI-driven post-purchase solutions for retailers, including automated customer service, returns and exchanges, fulfillment, product and shipping protection, and fraud detection.
What you will do
Own revenue optimization and risk mitigation strategies across the revenue waterfall in collaboration with client-facing teams.
Build data-backed talk tracks and narratives for Revenue teams using testing, Monte Carlo simulations, and machine learning models.
Test optimization ideas, demonstrate their impact, and influence backend Product and Engineering teams to implement them in the product roadmap.
Own and improve data pipelines, define data structures, and apply advanced tracking methods to identify revenue opportunities.
Set a high standard for analytical thinking and execution across the team.
Requirements
5+ years of experience in product data science or consulting, with a strong emphasis on strategic thinking and a record of driving business impact.
Strong statistical foundations in experimentation, causal inference, forecasting, and modeling.
Experience working with backend Product and Engineering teams to implement product roadmaps.
Expert knowledge of SQL, Python, A/B testing, and GitHub.
Hands-on experience with Snowflake and dbt, or close equivalents.
Intellectual curiosity, willingness to think beyond the revenue organization, and ability to prioritize what is best for the business holistically.
Empathetic, humble, and collaborative approach, comfort with ambiguity, and high ownership in a remote-first team.
Advanced degree in data science, analytics, economics, statistics, or a similar quantitative field.
Nice to have
Interest in AI tools such as Claude and Gemini and willingness to use them to complement the workflow.
Culture & Benefits
Collaborative and supportive environment with colleagues from diverse backgrounds.
Medical, dental, and vision benefits.
Stock in an early-stage startup.
Generous, flexible paid time off policy.
401(k) with financial guidance from Morgan Stanley.
Immigration-related sponsorship is not provided for this role.
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