Data Science

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 12%

infoinfo

🗣️🇧🇷🇵🇹 Portuguese Required

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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

• Identify the target audience using filters in HR systems, taking into account employment relationship, work arrangement, organizational area, and assignment or secondment status • Extract work hours, absence, attendance, substitution, and timekeeping records for the defined reference periods • Cross-reference system configuration data to build an identification key for each employee’s work schedule plan • Project work schedules day by day based on shift-cycle logic • Apply data-cleansing and exclusion rules to ensure the eligibility of the records analyzed • Compare expected entries with those registered in the system, identifying required additions, updates, and blocks • Engage the IT team to execute bulk entries • Consolidate timekeeping records into clock-in and clock-out pairs for time-based analysis • Identify anomalous patterns in special work arrangements, including recurring daytime schedules and weekends off

🎯 Requirements

• Bachelor’s degree in a technology-related field • Python: data manipulation, automation, and development of analytical solutions • SQL: data extraction and transformation from relational databases • Statistical modeling and machine learning techniques applied to data analysis • Machine learning and visualization libraries: Scikit-learn, Streamlit, Matplotlib/Pyplot • Deep learning frameworks: TensorFlow and PyTorch • NLP, Generative AI, LLMs, and RAG (Retrieval-Augmented Generation) • Cloud computing: AWS and Azure • Experience with LangChain and LangGraph • Experience building chatbots • Communication and collaboration with technical teams • Ability to act as an interface between business and IT • Presentation of results to non-technical audiences

🏖️ Benefits

• Remote work • Position also open to candidates with disabilities

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