Назад
Company hidden
6 дней назад

Applied Scientist with Causal Inference

Формат работы
remote (только Colombia/Mexico/Latam)
Тип работы
fulltime
Английский
b1
Страна
Mexico/Colombia/Uruguay
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Applied Scientist with Causal Inference (Python/SQL/BigQuery): Building experimentation and causal inference capabilities for a cargo analytics platform with an accent on rigorous statistical design, impact measurement, and analytical decision-making. Focus on designing A/B tests, quasi-experiments, and observational studies, developing causal methods, and integrating them into data products.

Location: Remote in Colombia, Mexico, Uruguay, or Latin America

Company

hirify.global is a global software engineering company that builds data, analytics, and AI solutions for clients across multiple industries.

What you will do

  • Lead the methodological strategy for experimentation and causal inference in a cargo analytics environment.
  • Design and analyze A/B tests, quasi-experiments, observational studies, and other rigorous analytical approaches.
  • Develop causal inference methods to measure impact, incrementality, and value capture.
  • Translate business questions into robust analytical designs and support decisions under uncertainty.
  • Collaborate with Data Scientists, Engineering, Product, and business stakeholders to integrate causal methodologies into data products and decision processes.
  • Contribute to standards, tools, and best practices for experimentation.

Requirements

  • Solid experience as an Applied Scientist, Data Scientist, or in a similar quantitative role, with depth in experimentation and causal inference.
  • Strong foundations in statistics, statistical inference, experimental design, A/B testing, quasi-experiments, and observational studies.
  • Proficiency in Python for statistical analysis and modeling with Statsmodels, Scikit-learn, Pyfixest, or a similar framework.
  • Proficiency in SQL and experience with BigQuery or an equivalent cloud data warehouse.
  • Experience measuring impact, incrementality, and value capture, with strong data storytelling skills.
  • Fluency in Spanish and intermediate English are required for documentation and international collaboration.

Nice to have

  • Predictive modeling and machine learning fundamentals applied to decision-making.
  • Familiarity with responsible AI and analytical ethics practices.

Culture & Benefits

  • Flexible remote, hybrid, and office work formats, with equipment and secure access provided.
  • Vacation, sick pay, health insurance, and time off for state holidays according to the employee's country.
  • Professional development support, including IT certification costs, mentoring, and access to learning platforms.
  • Employee-focused environment with flexible work practices, open communication, and professional growth opportunities.
  • Mental health support, corporate events, and practical workplace assistance.

Hiring process

  • CV review followed by an HR interview.
  • Communication and technical assessments covering English skills and relevant technologies.
  • Project team meeting and, if applicable, client interview preparation.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →