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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль описана чётко и сочетает продуктовую аналитику, эксперименты и прикладное моделирование, но консалтинговый формат может означать меньше работы над одним продуктом в долгую.
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Текст:
Hirify AI/Оригинал
TL;DR
Product Data Scientist (AI): Shaping credit card and banking product strategy through product analytics, experimentation, and applied machine learning with an accent on consumer behavior, growth opportunities, and predictive tools. Focus on designing A/B tests, developing statistical and predictive models, and translating complex analyses into consumer-facing features and product decisions.
Location: Remote from Argentina, Brazil, or Colombia
Company
hirify.global is an AI-native consulting and technology services firm delivering cloud, data, software engineering, and artificial intelligence solutions, including end-to-end AI and product development following its acquisition of Tooploox.
What you will do
Partner with Product Managers and vertical leadership to identify, size, and prioritize growth opportunities across the consumer journey.
Define north-star metrics, funnels, performance drivers, dashboards, and measurement frameworks.
Analyze consumer behavior, friction points, and performance trends, translating ambiguous business questions into actionable recommendations.
Own the experimentation lifecycle from hypotheses and test design through statistical analysis and business impact measurement.
Develop predictive and statistical models, including tools such as approval odds and personalized recommendations, and help translate findings into consumer-facing features.
Automate recurring analytical processes and communicate insights to technical and non-technical stakeholders.
Requirements
3+ years of professional experience in data science, product analytics, or a related analytical discipline, including demonstrated influence on product decisions through data.
Strong proficiency in SQL and Python for data exploration, statistical analysis, automation, and predictive modeling.
Hands-on Databricks experience is required for analytical workflows, data processing, or model development.
Experience designing, analyzing, and interpreting A/B tests, including statistical significance, power analysis, and common experimentation pitfalls.
Strong understanding of product analytics, including funnel optimization, metric development, cohort analysis, and behavioral segmentation.
Working knowledge of applied statistics and machine learning techniques such as regression, classification, propensity modeling, and/or causal inference.
Experience developing dashboards and automating analytical workflows with modern BI and data tools.
Excellent communication and collaboration skills, with the ability to influence Product Managers, Engineers, and business stakeholders through data-backed recommendations.
Bachelor’s or advanced degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related quantitative discipline, or equivalent practical experience.
Culture & Benefits
Full-time remote role for candidates in Argentina, Brazil, or Colombia.
Work on real-world AI-driven projects spanning startup innovation and enterprise transformation.
Collaborate with a global team across continents and cultures.
Inclusive environment focused on continuous learning, innovation, and ethical AI standards.
Equal opportunity employment.
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