Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Привлекают самостоятельность и возможность влиять на развитие направления Data Science, но без зарплаты сложно оценить предложение, а всего четыре дня отпуска в год заметно снижают его привлекательность.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist (MX) (Python/R, SQL, Databricks, dbt): Building predictive models, experimentation frameworks, and production-ready data products that improve churn, usage, and revenue with an accent on statistical rigor, reproducible pipelines, and recommendation systems. Focus on owning ambiguous data science projects end to end, interpreting experiments, and delivering trusted models and features for business teams.
Location: Fully remote within Mexico
Company
hirify.global develops software tools, community collaboration platforms, and digital content to improve biblical literacy and accessibility.
What you will do
Own data science projects from problem framing and method selection through modeling, validation, and presentation of results.
Build and maintain predictive models, analytical pipelines, certified data products, scores, and features using Python or R, SQL, and dbt on Databricks.
Design, run, and interpret experiments, including hypothesis formulation, sizing, and evaluation of inconclusive results.
Shape the data science roadmap and prioritize work based on measurable impact on churn, usage, and revenue.
Partner with embedded analysts and the Data Platform team to drive adoption, data quality, and upstream product reliability.
Mentor analysts, contribute to code reviews and team standards, and maintain reproducible documentation.
Requirements
4–7 years of professional experience in data science, applied statistics, or a related quantitative field.
Experience independently owning projects from ambiguous requests through delivered results.
Strong SQL skills and fluency in Python or R.
Solid knowledge of statistics and experimental design, including test limitations.
Ability to prioritize work based on business value and communicate technical results to non-technical audiences.
Nice to have
Experience as the only or one of very few data scientists on a team.
Hands-on experience with Databricks and dbt.
Exposure to production machine learning systems, recommendation engines, or MLOps.
Experience with subscription or SaaS businesses, especially churn, retention, and usage analytics.
Familiarity with data mesh or distributed analytics operating models.
Culture & Benefits
Family medical, dental, vision, and life insurance.
Three company-paid holidays in addition to regular holidays.
Four days of paid time off per year and paid time off on birthdays.
Law benefits including a 15-day Christmas bonus, legally established vacation days, and a 25% vacation bonus.
Awards and recognition program.
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