AWS Data Scientist, Mid

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Compass

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Real Estate • Media

Compass is a real-estate-focused content and services site that provides detailed market analysis, buying/selling/renting guides, mortgage and financing information, and home improvement and renovation advice. The site offers resources for homebuyers, sellers, renters, agents, and real estate investors — including articles on appraisals, affordable housing, investment strategies, staging and property maintenance. Compass aims to help users make informed decisions across the housing lifecycle through timely market updates and practical how-to content.

10,000+ employees

🏠 Real Estate

📱 Media

📋 Description

• Analyze, develop, and validate statistical and machine learning models with a focus on efficiency, scalability, and business impact; • Apply advanced data analysis techniques to extract relevant insights and support strategic decision-making; • Collaborate with data engineers and business analysts to understand requirements, identify opportunities, and propose appropriate analytical solutions; • Optimize the performance and accuracy of predictive models, algorithms, and analytical pipelines; • Implement and maintain dashboards and visualization solutions to communicate results clearly and effectively; • Develop and maintain technical documentation for models, analytical methodologies, and processes used; • Stay up to date on technologies, frameworks, and best practices in Data Science, AI, and machine learning; • Participate in technical discussions, collaborate on reviews, and contribute to knowledge sharing within the team.

🎯 Requirements

• Hands-on experience with AWS Lambda and AWS Step Functions; • Strong knowledge of DynamoDB for data manipulation and querying; • Proficiency in Python, including libraries for data analysis and machine learning; • Strong SQL skills for data exploration, transformation, and validation.

🏖️ Benefits

• Don't meet all the requirements for the role? • That's okay! At Compass UOL, we encourage the continuous development of new talent and turn challenges into opportunities.