Data Scientist, Machine Learning

Job not on LinkedIn

🕒 August 6

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Compass

WebsiteLinkedInAll Job Openings

10,000+ employees

🏠 Real Estate

📱 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

• Design, develop, and implement computer vision and machine learning solutions, working with classification, segmentation, and object detection • Develop predictive models and machine learning algorithms to solve complex business problems • Lead projects from data exploration through validation and interpretation of results, with a focus on measurable impact • Use Python, Scikit-learn, XGBoost, LightGBM, Jupyter, Databricks, MLflow, Statsmodels, and SciPy • Apply supervised, unsupervised, and deep learning techniques • Integrate applications with language model APIs (LLMs)

🎯 Requirements

• Experience building computer vision solutions • Experience with AWS SageMaker for deploying and managing machine learning models • Experience applying machine learning to business problems • Experience integrating applications with language model APIs (LLMs) • Proficiency in Python for machine learning development • Preferred experience with Scikit-learn, XGBoost, and LightGBM • Experience with Jupyter Notebook or Databricks • Knowledge of MLflow for experiment tracking and model management • Experience developing predictive models • Knowledge of supervised, unsupervised, and deep learning techniques

🏖️ Benefits

• Position also open to candidates with disabilities (PwD)