pythonsqldata engineeringmachine learninga b testingairflowstatistical modelingcausal inference
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная роль в известной продуктовой компании предполагает заметное влияние на продукт и сильные аналитические задачи, но без зарплаты сложно оценить условия по оплате.
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Зарплата не указанаСовременный стекПонятные задачиСильный продуктТолько Мексика
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist (Fintech): Building statistical analyses, predictive models, and production-grade analytical data sources across the Zillow home-buying and mortgage funnel with an accent on causal inference, experimentation, and customer behavior modeling. Focus on designing rigorous A/B tests, translating business questions into measurable analyses, and delivering scalable data pipelines for product and operational decisions.
Location: Remote anywhere in Mexico, with availability to travel to Mexico City for occasional office events
Company
hirify.global is a real estate technology platform helping customers buy, sell, finance, and rent homes.
What you will do
Design, implement, and communicate causal analyses across the hirify.global.com-to-hirify.global Home Loans funnel.
Apply statistical modeling and advanced analytics to predict customer behavior and evaluate product and operational changes.
Partner with product and engineering teams to define measurement frameworks, retrieve data, and turn findings into recommendations.
Prototype analytical pipelines and develop them into production-grade data sources.
Collaborate with Data Scientists and Data Analysts to improve tooling, documentation, and analytical quality.
Requirements
Strong proficiency in SQL and Python.
Experience with statistical modeling and inference, including selecting appropriate proven methods.
Experience delivering analyses or models that are repeatedly used by the business.
Ability to communicate clearly and collaborate with technical and non-technical stakeholders.
Experience equivalent to BS plus 5 years, MS plus 3 years, or PhD plus 1 year in data science, statistics, applied science, or a related quantitative field is preferred.
Nice to have
Experience with A/B testing, experimentation design, power analysis, and multiple-testing considerations.
Experience with causal inference methods such as difference-in-differences, synthetic controls, propensity score matching, or uplift modeling.
Exposure to web or app analytics, statistical or machine learning packages, and business-focused modeling.
Experience with data engineering pipelines and tools such as Airflow, dbt, or Spark.
Exposure to mortgage, fintech, or ecommerce domains.
Culture & Benefits
Remote teleworker position without a permanent corporate office workplace.
Employees may live anywhere in Mexico and must be available to travel to Mexico City for occasional office events.
Competitive base salary, benefits, and eligibility for equity awards based on experience, performance, and location.
Distributed-work approach with flexibility to work from a productive location.
Inclusive environment focused on innovation, collaboration, and professional growth.
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