Senior Artificial Intelligence Data Scientist

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🕒 May 27

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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 Artificial Intelligence and Data Science solutions to support business decision-making; • Build, train, validate, and optimize Machine Learning and Deep Learning models; • Work on projects involving NLP, Generative AI, large language models (LLMs), and Retrieval-Augmented Generation (RAG) architectures; • Develop data pipelines and integrations using Python and SQL; • Design and implement statistical models applied to business problems; • Develop dashboards, visualizations, and analytical applications using visualization libraries and AI frameworks; • Contribute to the development and evolution of intelligent chatbots; • Work with AWS cloud environments for development and deployment of solutions; • Collaborate with cross-functional teams to define data-driven strategies; • Ensure the quality, scalability, and performance of delivered solutions; • Support technical presentations and communicate results to stakeholders.

🎯 Requirements

• Minimum of 4 years of proven experience in IT; • Bachelor's degree in IT or a postgraduate qualification in IT with a minimum recognized workload of 360 hours; • Advanced knowledge of Python and SQL; • Experience with statistical modeling and Machine Learning techniques; • Deep knowledge of NLP, Generative AI, LLMs, and RAG; • Experience with Deep Learning frameworks such as TensorFlow and PyTorch; • Familiarity with cloud computing, especially AWS; • Knowledge of statistical models and data analysis; • Experience with AI/Machine Learning and visualization libraries such as scikit-learn, Streamlit, and Matplotlib/pyplot; • Good communication, analytical skills, and presentation abilities; • Desirable experience in developing intelligent chatbots; • Collaborative, proactive profile and problem-solving oriented.