Senior Data Scientist

🔥 2 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 15%

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 • Conduct data exploration, analysis, validation, and interpretation with a focus on measurable impact • Extract and transform data from relational databases using SQL • Develop analytical solutions, automations, and data manipulation processes using Python • Apply statistical modeling and machine learning techniques to data analysis • Use machine learning, deep learning, and data visualization libraries and frameworks to build analytical solutions • Develop solutions involving NLP, Generative AI, LLMs, and RAG (Retrieval-Augmented Generation) • Serve as an interface between business and IT • Present results and insights to non-technical audiences • Support data-driven decision-making in pursuit of business objectives

🎯 Requirements

• Experience with Python for data manipulation, automation, and analytical solution development • Knowledge of SQL for extracting and transforming data from relational databases • Knowledge of statistical modeling and machine learning techniques • Experience with Scikit-learn, Streamlit, and Matplotlib/Pyplot • Knowledge of TensorFlow and PyTorch • Knowledge of NLP, Generative AI, LLMs, and RAG (Retrieval-Augmented Generation) • Experience with cloud computing on AWS and Azure • Experience with notebooks such as Jupyter and Databricks • Experience with experimentation tools such as MLflow • Knowledge of statistical libraries such as Statsmodels and SciPy • Experience applying supervised, unsupervised, and deep learning techniques • Strong communication skills for liaising with technical and business teams • Ability to present results to non-technical audiences • Preferred: Experience with LangChain • Preferred: Experience with LangGraph • Preferred: Experience building chatbots