Senior Analyst, Data Scientist

Your responsibilities will include Analyze consumer behavior across digital journeys, using: Perform deep-dive analyses on the customer base to: Design develop and maintain analytical models and data products that support business decision-making, such as: Performance and efficiency models; Work in a multidisciplinary environment, collaborating with other data scientists, data engineers, machine learning engineers, developers and product owners to frame problems, define hypotheses and evaluate solutions; Contribute to best practices in analytics, ensuring organization, documentation and reproducibility of analyses and models. 2+ years of proven experience as a Data Scientist; Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science or Engineering; Proficiency in Python and SQL for data analysis and modeling; Experience working with cloud environments (GCP and/or AWS); Experience handling large and complex datasets; Solid understanding of statistical concepts and methods (distributions, hypothesis testing, multivariate statistics, etc.); Experience with traditional Machine Learning techniques (classification, regression, time series, etc.); Strong problem-solving skills, with the ability to structure ambiguous business problems into analytical solutions; High level of organization and analytical rigor, ensuring clarity, consistency and reliability in analyses. Experience in Digital, D2C, E-commerce or Growth environments; Experience with marketing analytics frameworks, such as MMM or attribution models; Familiarity with Google Analytics 4 and digital data collection concepts; Experience with Machine Learning frameworks (Scikit-learn, TensorFlow, PyTorch, etc.); Knowledge of version control tools (Git); Ability to communicate insights clearly, objectively and assertively to technical and non-technical audiences; Intermediate English (reading, writing and conversation).