Senior Data Scientist

🔥 11 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 14%

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

• Develop predictive models and machine learning algorithms to solve complex business problems, leading the process from data exploration through result validation and interpretation, with a focus on measurable impact • Use Python (Scikit-learn, XGBoost, LightGBM), notebooks (Jupyter, Databricks), experimentation tools (MLflow), and statistical libraries (Statsmodels, SciPy), applying supervised, unsupervised, and deep learning techniques as needed • Validate the performance of RAG systems by considering cost metrics (tokens and latency) and response quality, using indicators such as semantic similarity, BLEU, and ROUGE, among others • Develop text-ingestion pipelines for vector databases using AWS OpenSearch, and build APIs with LangChain and LangGraph integrated with OpenAI and AWS Bedrock • Work with AWS cloud services (such as S3, Lambda, Parameter Store, and Secrets Manager), as well as serverless architectures on AWS and Azure, containerized applications in AWS environments, and Azure Document Intelligence for document extraction and processing

🎯 Requirements

• Strong experience with Python • Experience with Machine Learning models and proficiency in Data Science libraries such as Scikit-learn, XGBoost, and LightGBM • Hands-on experience with Large Language Models (LLMs) and Generative AI solutions, with an emphasis on agent-based architectures, including RAG (Retrieval-Augmented Generation) • Experience with Databricks • Experience with the LangChain and LangGraph frameworks • Experience with experimentation tools (MLflow) • Experience with AWS Bedrock • Knowledge of language model evaluation metrics such as BLEU and ROUGE is a plus • In addition to AWS experience, knowledge of Azure is required

🏖️ Benefits

• Remote work • Open to candidates with disabilities