Data Scientist (Statistical Modeling & Analytics)

At Stefanini Group, we believe in the power of collaboration. We co-create innovative solutions in partnership with our clients, combining cutting-edge technology, artificial intelligence, and human creativity. We are at the forefront of solving business challenges, delivering real impact on a global scale.By joining Stefanini, you become part of a global journey of transformation. We are committed to creating a positive impact not only on businesses, but also in the lives of our employees. If you are looking for an opportunity for professional growth in a company that values innovation, respect, autonomy, and partnership, you will find it here!Join us and be part of the change!Work Model: Hybrid (twice a week at Eusébio Matosso, São Paulo/SP).#LI-JS2

Responsabilidades e atribuiçõesAdvanced Statistical & Predictive Modeling: Develop predictive models for churn, detraction propensity, and customer behavior using logistic regression, gradient boosting, survival analysis, and multivariate modeling. Next Best Offer (NBO) / Recommendation Systems: Build cross-sell, up-sell, and next-best-action models, measuring incremental business impact through A/B testing, control groups, and uplift modeling. Data Architecture & Analytics Governance: Design data models, define data dictionaries, quality rules, and ensure data integrity across complex enterprise pipelines (CRM, ERP, ITSM) while ensuring LGPD/GDPR compliance. Insights & Executive Storytelling: Translate complex statistical outputs and machine learning models into clear executive dashboards, actionable operational triggers, and business recommendations for leadership. Requisitos e qualificações Bachelor's degree in Statistics, Mathematics, Data Science, Economics, or Engineering. Solid experience (5+ years) in statistical modeling, data science, and advanced data analytics. Strong technical stack: Python (pandas, scikit-learn, statsmodels) or R; Advanced SQL; Dimensional modeling, ETL, and data governance; Experience with Power BI or Tableau. Strong command of machine learning validation metrics (AUC, precision, recall, lift), hypothesis testing, and sample design. Languages: Advanced English (mandatory) and Intermediate Spanish (desirable). Nice to Have (Differentials):Post-graduate degree or Master's in Statistics, Data Science, or quantitative fields. Prior domain knowledge or experience in Customer Experience (NPS, CSAT, CES), Customer Success, CRM analytics, or customer retention. Experience with PySpark, Databricks, Snowflake, Azure Data Factory, BigQuery, MLOps, or NLP/LLMs applied to customer feedback.

Informações adicionais🍛 Vale-alimentação ou vale-refeição;👨🏼‍🎓 Desconto em cursos, universidades e instituições de idiomas;📚 Academia Stefanini — plataforma com cursos on-line, gratuitos, atualizados e com certificado;🗣 Mentoring;💉 Clube de vantagens para consultas e exames;🏥 Assistência médica;🦷 Assistência odontológica;💰 Clube de vantagens e descontos nos melhores estabelecimentos;🛫 Clube de viagens;🐶 Convênio para pets.