Career Opportunities in Data Analysis
Há 3 dias
We are seeking a Data Analyst with strong statistical foundations and experimental design expertise. Your primary focus will be on rigorous analysis: designing robust experiments, validating assumptions, and extracting clear insights from complex data.
- Design, run, and analyze A/B tests and other experimental frameworks to inform product decisions.
- Apply statistical inference and hypothesis testing to evaluate product changes and measure their impact.
- Become proficient in classical ML models (regression, classification, ranking) with a focus on explainability and robustness.
- Use exploratory analysis to uncover hidden patterns or validate product hypotheses and drive business growth.
- Develop reproducible workflows for experimentation and modeling to ensure consistency and reliability.
- Collaborate with cross-functional teams to translate experiments and analyses into well-grounded business decisions.
What We Value:
- A deep understanding of statistics, probability, and causal inference.
- The ability to move seamlessly between theory and practice: from modeling assumptions to implementation details.
- Clear communication of methods, assumptions, and results.
- Patience to validate before scaling, and rigor in separating correlation from causation.
Bonus Points:
- Experience with uplift modeling and its applications.
- Product analytics or growth-focused DS experience is a plus.
- Familiarity with data infrastructure tools such as Airflow, BigQuery, dbt, or similar.
- Ability to train and ship models to production environments.
- Familiarity with common experimentation pitfalls (SRM, novelty effects, power issues).
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