28 may
|
Wizeline
|
Bogotá
Postúlate en Kit Empleo: kitempleo.com.co/empleo/1at3qh
Wizeline, a general AI-native technology solutions provider, develops cutting-edge AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.
Key Responsibilities
- Design, build, and validate causal models to evaluate the impact of business campaigns and initiatives (2x2 Difference-in-Differences (DiD), Staggered DiD, Synthetic Control, Causal Forest, DoubleML, Causal Meta Learners, G-Computation, Causal Discovery, DAG).
- Define causal estimation methodologies for the design, implementation, and validation of causal models, aligned with business context, data quality, and the strategic decisions to be informed, ensuring standards and best practices.
- Apply advanced statistical methods on observational data to identify and quantify causal relationships, distinguishing correlation from causation.
- Design and implement Randomized Controlled Trials (RCTs)
to rigorously evaluate the effectiveness of business strategies.
- Ensure robust experimental design, proper allocation of control and treatment groups, and correct execution to obtain reliable and reproducible results. Estimate the causal impact of experiments using appropriate statistical techniques (e.g., regression, t-test, chi-square), evaluating assumptions, biases, and the robustness of results.
- Maintain clear and detailed documentation of models, experiments, and analytical processes.
- Prepare reports and presentations that translate complex analyses into understandable messages for non-technical audiences.
Must-have Skills
- At least 3–4 years developing and applying causal inference models, experimentation (RCTs), and machine learning techniques on experimental and observational data.
- Strong foundations in statistics, probability, and applied econometrics, including the Potential Outcomes framework, selection bi
Postúlate en Kit Empleo: kitempleo.com.co/empleo/1at3qh
📌 Data Scientist – Experimentation (Bogotá)
🏢 Wizeline
📍 Bogotá