Work closely with cross-functional teams, including engineering, real estate, workplace design, workplace experience technology, finance, and corporate services, to understand their data needs and provide relevant insights. Generate actionable insights by identifying trends and patterns to provide data-driven recommendations to improve colleague experience, maximize value for the firm, and create operational efficiencies. Work with our data engineering team to develop and maintain data pipelines, ETL processes, databases and data warehouses for the firm's workplace data. Design and implement dashboards and interactive tools for data exploration and visualization. Stay updated on the latest developments in data science, machine learning, and real estate technology. Collect, clean, and preprocess large datasets from various internal and external sources to create useful machine learning models and algorithms. Oversee data governance practices to ensure data integrity, security, and accessibility Experience with GIS and spatial data analysis. Knowledge of real estate market dynamics and property valuation techniques. Familiarity with cloud platforms (e.g., AWS, Google Cloud) and big data technologies (e.g., Hadoop, Spark). The chance to make a significant impact on the real estate industry through data-driven insights. Advanced degree in STEM engineering degrees, or equivalent work experience with experience preferred in related fields. 8+ years of related experience required; experience in the securities or financial services industry is a plus Proven experience as a Data Scientist, preferably in the real estate industry. Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn) and data visualization tools (e.g., Tableau, Power BI). Strong understanding of real estate markets, financial analysis, and investment principles. Excellent problem-solving skills and the ability to work independently and collaboratively. Strong communication skills, with the ability to present complex information clearly to non-technical stakeholders.
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