Data Science Specialist

Description

Job Summary: We are looking for a Data Scientist to serve as a technical and business reference, transforming complex problems into data-driven solutions and guiding the team. Key Highlights: 1. Act as a technical and business reference in data science 2. Lead the definition of analytical approaches and strategic modeling 3. Provide technical guidance to other data scientists ### **Do you identify with this? Then join us!** * Serve as a technical and business reference in analytical and data science initiatives; * Translate complex business problems into hypotheses, analyses, and data-driven solutions; * Lead the definition of analytical approaches and modeling aligned with company strategy; * Connect data, models, and results to real business impact (revenue, risk, efficiency, customer); * Collaborate closely with partner areas to gain deep understanding of pain points and opportunities; * Evaluate, interpret, and communicate results clearly to executive audiences; * Provide technical guidance to other data scientists and elevate the team's analytical capability; * Ensure best practices in modeling, validation, monitoring, and responsible use of models; * Support strategic decision-making with data-driven recommendations and critical insight. ### **Now we’d like to know whether you have the profile and knowledge listed below:** Solid experience in applying data science to real-world business problems; Strong ability to analyze, interpret, and tell stories with data; Proficiency in statistical and machine learning models, with focus on applicability; Experience with Python and SQL; Ability to make technical decisions considering business trade-offs.### **The following would be considered a plus:** * Knowledge or experience in Insurance and/or CRM domains; * Experience with risk, retention, churn, propensity, or customer lifetime value models; * Experience in data-driven environments supporting strategic decision-making. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.