Predictive Analytics Manager I

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Create and execute predictive models utilizing advanced statistical and machine learning methods (e.g., regression, clustering, decision trees, neural networks).

• Develop and sustain programs for predictor and response variables, ensuring the accuracy and scalability of models.

• Collaborate with business stakeholders to identify their needs, convert them into analytical solutions, and clearly communicate actionable insights.

• Present analytical results to non-technical audiences, detailing methodologies, data sources, and business implications.

• Investigate, prepare, and organize large datasets (both internal and external) to facilitate model development and improvements.

• Contribute to the design and ongoing enhancement of modeling frameworks, processes, and best practices.

• Ensure data quality and model integrity through thorough validation and review protocols.

• Develop a solid understanding of the data landscape, including sourcing, mapping, and integrating data across various systems.

• Assist with enterprise data initiatives (e.g., data migration and transformation projects).

• Collaborate with and mentor junior analysts, sharing expertise and promoting best practices.

• Stay updated on industry trends, especially in insurance analytics and predictive modeling.

⛳️ Requirements

• Over 6 years of experience in predictive analytics, data science, or a similar field.

• Bachelor's degree in Mathematics, Statistics, Computer Science, or a related discipline.

• Professional experience in insurance or pricing analytics is highly advantageous.

• Strong proficiency in:

• Python, R, and SQL.

• Experience with SAS is a plus.

• Advanced understanding of:

• Predictive modeling and machine learning techniques.

• Statistical analysis and data mining.

• Data preparation and feature engineering.

• Strong comprehension of data ecosystems and the ability to navigate complex data environments.

• Capability to convert complex data into clear, actionable insights.

• Exceptional communication skills, capable of presenting analytical findings to diverse audiences.

• Problem-solving mindset with the ability to work independently in a rapidly changing environment.

• Experience in contributing to or building analytics capabilities from the ground up is highly regarded.

• A collaborative and proactive attitude, with a readiness to share knowledge and mentor colleagues.

• Experience working with cross-functional teams in data-driven settings.

🏝️ Benefits

• Comprehensive benefits package.

• Career development and training opportunities.

• Flexible work arrangements.

• A dynamic and inclusive work culture within a globally recognized organization.

• Private Health Insurance.

• Pension Plan.

• Paid Time Off.

• Training & Development.