Senior Data Scientist, Forecasting

Job not on LinkedIn

đŸ”„ 2 minutes ago

đŸ‡§đŸ‡· Brazil – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

đŸ‘» Ghost score 15%

infoinfo

đŸ—ŁïžđŸ‡§đŸ‡·đŸ‡”đŸ‡č Portuguese Required

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Logo of Compass

Compass

10,000+ employees

🏠 Real Estate

đŸ“± Media

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.

📋 Description

‱ Work with Machine Learning and Forecasting to develop and enhance predictive models focused on demand, revenue, and user behavior forecasting ‱ Lead end-to-end Data Science projects, from understanding business needs through model deployment and monitoring in production ‱ Develop forecasting models for demand, revenue, and user behavior ‱ Collect, transform, prepare, and explore data ‱ Develop and validate Machine Learning and Time Series models ‱ Evaluate model performance using statistical metrics and business indicators ‱ Deploy, monitor, and enhance models in production environments ‱ Use Databricks to manage the model lifecycle ‱ Participate in technical discussions on data and Machine Learning architecture ‱ Develop analyses and recommendations related to sales predictability and decision support ‱ Collaborate with business stakeholders to ensure solutions deliver measurable impact

🎯 Requirements

‱ Experience with Machine Learning and Forecasting, preferably with hands-on experience developing demand, revenue, sales, or user behavior forecasting models ‱ Knowledge of Time Series and predictive model development and validation ‱ Experience with Python and data manipulation ‱ Knowledge of or experience with Databricks ‱ Experience working on end-to-end Data Science projects, including deployment and production monitoring ‱ Ability to work closely with business stakeholders, translating analyses into impactful recommendations and solutions

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