Senior Data Scientist – Machine Learning, AI

Job not on LinkedIn

🔥 13 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

🗣️🇧🇷🇵🇹 Portuguese Required

Where this job comes from

Posted on Compass's careers page ↗Compass's careers page, not through a job board

First seen by Remote Rocketship 13 hours ago

Still open on Compass's site. Checked 1 hour ago.

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Logo of Compass

Compass

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 and deploy predictive models and Machine Learning algorithms to solve complex business analytics challenges • Lead the end-to-end analytics lifecycle: data exploration, statistical modeling, validation, interpretation, and monitoring of impact metrics • Develop interactive interfaces and prototypes to enable business teams to use solutions and models, particularly with Streamlit • Apply statistical methods, supervised and unsupervised learning, and Deep Learning according to the business challenge • Structure and maintain experimentation pipelines with notebooks (Databricks, Jupyter) and experiment tracking (MLflow) • Collaborate with data engineers and developers to integrate solutions into production environments

🎯 Requirements

• Strong hands-on experience in Data Science / Machine Learning at a Senior level • Advanced Python programming skills (Scikit-learn, XGBoost, LightGBM, Statsmodels, SciPy) • Hands-on experience building analytical applications and prototypes with Streamlit • Strong experience with Deep Learning frameworks (PyTorch and/or TensorFlow) • Experience with experimentation and notebook environments (Databricks, Jupyter) and the ML lifecycle (MLflow) • Practical familiarity with and interest in applications involving LLMs and Generative AI • Practical knowledge of or previous experience with frontend development using React for data applications (a plus) • Experience with AWS cloud architectures and services, such as Amazon Bedrock (a plus) • Experience working on high-volume data projects in the energy / oil and gas sector (a plus)

🏖️ Benefits

• Meal allowance and/or food voucher • Health and dental insurance • Health insurance for your pet • Home office allowance (for remote positions) • Welcome kit during onboarding • Life insurance • Zenklub, including psychological and nutritional support • TotalPass • Certification and Continuous Learning Program with partners (Adobe, Anthropic, AWS, Google, Microsoft, Salesforce) • Partnerships and discounts to support your professional development • Access to UOL content • Maternity kit • Extended maternity and paternity leave • Employee referral program

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