Zonda
Zonda is a data-driven company focused on empowering smarter decisions in the housing market. By offering personalized and comprehensive solutions backed by the most advanced national homebuilding database, Zonda helps builders, managers, mortgage clients, and developers stay informed about their local real estate markets. Their goal is to provide the right tools and data necessary for navigating shifts in the housing industry.
Data Scientist II
April 2
Zonda
Zonda is a data-driven company focused on empowering smarter decisions in the housing market. By offering personalized and comprehensive solutions backed by the most advanced national homebuilding database, Zonda helps builders, managers, mortgage clients, and developers stay informed about their local real estate markets. Their goal is to provide the right tools and data necessary for navigating shifts in the housing industry.
📋 Description
• Zonda is redefining the future of housing. • The Data Scientist II is a mid-level position responsible for Data Science and modelling in the realm of housing data. • Responsibilities include collection, cleaning, and pre-processing of data for solving business problems. • Engage business stakeholders from analysis using visualisations and findings. • Ownership of documentation related to datasets, model selection, training experiments, and production infrastructure. • Identify and implement appropriate tools for monitoring product performance in inference. • Continual learning and self-improvement with a focus on latest trends, techniques, and best practices in Data Science and Machine Learning.
🎯 Requirements
• Bachelor's degree in computer science, Statistics, Mathematics, or a related field. • 3+ years of experience in Data Science, Data Analytics, Machine learning, or a related field. • Proficient in Python and working knowledge of libraries NumPy, Pandas, Matplotlib, and scikit-learn etc. • Proficient in SQL for data extraction, transformation and analysis. • Strong mathematical, analytical, and problem-solving skills. • Strong understanding of statistical modelling, hypothesis testing and sampling methods. • Understanding of dataset preparation, splits, data quality control, and management. • Knowledge of data pre-processing and feature engineering techniques. • Sound understanding of software development best practices and DevOps. • Experience with version control systems like Git. • Experience with cloud computing platforms like AWS, Google Cloud, or Azure. • Knowledge and implementation of advanced data visualisation techniques. • Excellent communication and teamwork skills.
🏖️ Benefits
• Competitive Salary • Employee Assistance Program (EAP) • Live Meditation Sessions • Employee Recognition Platform • Virtual Wellness Program • Visionary Leadership Team
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