Data Scientist (Experimentation & Causal Inference)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Scientist (Experimentation & Causal Inference): Designing and running A/B tests and Randomized Controlled Trials to evaluate product and marketing initiatives with an accent on causal inference and statistical analysis. Focus on turning business questions into measurable experiments and analyzing large-scale datasets to optimize user engagement.
Location: Must be based in Colombia
Company
is a global AI-native technology solutions provider that develops AI-powered digital products and platforms for its clients.
What you will do
- Design and execute A/B tests and Randomized Controlled Trials (RCTs) to assess the impact of product and marketing initiatives.
- Apply causal inference techniques to estimate the true effect of various business strategies.
- Collaborate with product, marketing, and analytics teams to translate business questions into measurable experiments.
- Analyze large datasets to uncover patterns, insights, and opportunities for optimization.
- Utilize tools such as Braze and Amplitude to evaluate user behavior and campaign performance.
- Build funnels, cohorts, and segmentation analyses to enhance the understanding of user engagement.
Requirements
- 2–3+ years of experience in Data Science, Analytics, or a related field.
- Strong knowledge of statistics and experimentation methodologies.
- Proficiency in Python or R and SQL for data analysis.
- Experience designing and analyzing A/B tests or experimentation frameworks.
- Ability to communicate complex analytical findings to business stakeholders.
- Location: Must be based in Colombia
Nice to have
- Proficiency in AI tools to optimize research, analysis, and workflow automation.
- Experience with causal inference techniques such as difference-in-differences or the potential outcomes framework.
- Familiarity with Braze, Amplitude, Spark, Databricks, or Azure cloud environments.
- Experience in consumer-facing or marketing analytics environments.
Culture & Benefits
- High-impact environment with a commitment to professional development.
- Flexible and collaborative company culture.
- Opportunities for global growth within a vibrant community.
- Comprehensive total rewards package (determined by employment type and location).
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