Senior Data Scientist

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Data Scientist based in Brazil. Join a data-driven environment where advanced analytics, machine learning, and artificial intelligence are used to solve meaningful business challenges and drive measurable growth. As a Senior Data Scientist, you will design, deploy, and optimize predictive models that help consumer applications and web platforms improve user retention, conversion, personalization, and lifetime value. You will take ownership of the modeling lifecycle, from defining business problems and developing analytical approaches to deploying production-ready solutions and monitoring their performance. Working closely with data engineering, product, marketing, and business stakeholders, you will translate complex behavioral data into actionable insights and strategic recommendations. You will also leverage Large Language Models (LLMs) and AI-powered tools to develop intelligent analytics solutions and extract value from unstructured data. This fully remote opportunity offers a collaborative, international environment where technical excellence, independent thinking, and continuous innovation are highly valued. Accountabilities - Develop, deploy, and maintain predictive models for lifetime value (LTV), churn, and retention across mobile applications and web-based products. - Own the modeling roadmap for your area of responsibility, managing the complete lifecycle from problem definition and feature development to production deployment and ongoing performance monitoring. - Build cohort analyses and LTV models that inform user acquisition budgets, customer acquisition strategies, and payback period decisions. - Develop user segmentation and propensity models to support personalization, audience targeting, marketing optimization, and improved customer engagement.

- Continuously improve model accuracy and reliability through validation, backtesting, performance monitoring, and the integration of new data sources. - Design and conduct experiments, statistical analyses, and causal inference studies to measure the actual impact of product changes, marketing campaigns, and business initiatives. - Identify early behavioral signals and predictive indicators associated with conversion, churn, engagement, and long-term customer value. - Apply LLMs and machine learning techniques to classify unstructured text and behavioral signals into meaningful interest categories, product preferences, and brand intent. - Collaborate with data engineering teams to productionize models, establish reliable data pipelines, and maintain the quality and consistency of model inputs. - Build internal AI-powered analytics tools and data products that improve analytical efficiency, automate workflows, and support data-informed decision-making. - Communicate model results, assumptions, limitations, and confidence levels clearly to stakeholders and leadership, translating technical findings into practical business recommendations. - Establish modeling standards, technical documentation, validation practices, and reusable best practices to ensure consistency and maintainability across data science initiatives. - Mentor analysts and fellow data scientists, share technical knowledge, and contribute to the continuous improvement of the team's analytical capabilities. Requirements - At least five years of professional experience in data science, statistical modeling, or machine learning, ideally working with consumer applications, web platforms, or behavioral datasets. - Strong Python programming skills, including experience with pandas, scikit-learn, or comparable data science and machine learning libraries. - Advanced SQL skills and the ability to extract, transform, analyze, and interpret complex datasets efficiently.