Junior Data Scientist

As a Junior Data Scientist, you will get involved on projects that encompass the foundational principles of data science, such as Machine Learning, Experimentation, Statistical Modeling and Causal Inference. Most of your actions will hinge on these core and essential activities: aligning on business objectives, formulating problem statements, collecting, cleaning and structuring data, conducting analytical explorations, applying techniques for inferential and predictive modeling and effectively communicating outcomes. You will work on projects of varying sizes and time horizons, aligning your prioritizations with the Operations Coordinator. You will translate business questions into testable hypotheses and rigorous experimental designs, or into mathematical models and ML algorithms. You will deliver your work iteratively and incrementally, ensuring i) your code follows the best practices in terms of quality, reusability, optimization, ii) your analyses are robust, valid, reliable, scalable and impactful, iii) your deliverables are properly maintained and adapted to evolving requirements. You will investigate opportunities in various topics, such as: Market Expansion with randomized controlled trials (RCTs) or ML models for product launch; Market Health models or DnD models for policy evaluation; Audits with regression discontinuity design (RDD) or reinforcement control learning for auditing threshold; Document Processing with natural language processing (NLP) or optical character recognition (OCR) for document classification.