6 дней назад
Applied Scientist with Causal Inference
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
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.
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