Brasilseg

Operations

• Responsible for leading operational transformation and the development of a Lean culture across the organization
• Defining continuous improvement strategies
• Driving operational excellence and end-to-end optimization of corporate processes
• Serves as a technical reference in Lean, Six Sigma, and organizational transformation
• Leading high-complexity, strategically impactful initiatives
• Promoting efficiency, simplification, quality, and value generation for the business
• Consolidating process architecture, governance, and strategic guidelines

Process Improvement Specialist I

Data Scientist

• Work within the Analytics & Data Science team, developing statistical and machine learning models to support commercial decisions, optimize sales channels, and increase conversion, retention and portfolio growth with scientific rigor, controlled experimentation and large-scale production models.
• Build Next Best Action models to recommend the optimal product, channel and timing — increasing cross-sell within the customer base and conversion across digital channels.
• Develop churn models using behavioral and policy history to anticipate cancellation risk and trigger personalized retention actions.
• Deliver propensity-to-purchase models for lead scoring and the active base, prioritizing customers by probability of purchase — guiding commercial and digital efforts.
• Generate behavioral and economic segmentations to personalize communications, offers and pricing by profile.
• Apply uplift modeling to measure the incremental impact of campaigns, focusing where there is a real change in behavior and reducing budget waste.
• Design and analyze A/B tests and RCTs to measure the causal impact of sales, campaigns and journey changes — ensuring evidence-based decisions.
• Build Marketing Mix Modeling (MMM) and multichannel attribution to measure ROI by channel and optimize budget allocation based on incrementality.
• Evaluate policies without RCTs using causal methods, estimating the impact of changes such as region-based pricing.
• Model predictive LTV by customer/segment to guide acquisition and retention investment and support CAC vs. LTV logic.
• Build and maintain MLOps pipelines on Databricks, ensuring stability and performance of models in production.
• Translate analyses into clear executive recommendations, connecting statistical metrics to business decisions.

Process Improvement Specialist I

Senior Data Scientist