Data Scientist II - Zonda - Glasgow, Scotland

Data Scientist II - Zonda - Glasgow, Scotland, United Kingdom

Data Scientist II – Zonda - Glasgow, Scotland, United Kingdom - Collection, cleaning, and pre-processing of data for solving business problems. - Conduct exploratory data analysis to identify trends, patterns, and correlations in the data. - Develop and design experiments using statistical and machine learning models for data quality improvements, predictions, segmentation, and imputation. - Engage business stakeholders from analysis using visualisations and findings. - Collaborate with stakeholders to define requirements and deliverables. - Ownership of documentation related to datasets, model selection, training experiments, and inference workflows. - Collaborate with engineering teams to integrate ML models into production systems. - Monitor ML models in production, setting metrics to identify drift, and establish corrective measures for restoring model performance. - 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. Data Scientist II – Zonda - Glasgow, Scotland, United Kingdom - Collection, cleaning, and pre-processing of data for solving business problems. - Conduct exploratory data analysis to identify trends, patterns, and correlations in the data. - Develop and design experiments using statistical and machine learning models for data quality improvements, predictions, segmentation, and imputation. - Engage business stakeholders from analysis using visualisations and findings. - Collaborate with stakeholders to define requirements and deliverables. - Ownership of documentation related to datasets, model selection, training experiments, and inference workflows. - Collaborate with engineering teams to integrate ML models into production systems. - Monitor ML models in production, setting metrics to identify drift, and establish corrective measures for restoring model performance. - 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.

• 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 like NumPy, Pandas, Matplotlib, and scikit-learn.
• Proficient in Structured Query Language (SQL)
• Strong mathematical, analytical, and problem-solving skills.
• 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.
• Masters in a specific field such as Statistics, Data Science, Machine Learning, or AI.
• Familiarity with ML experiment tracking, model versioning, and lifecycle management tools such as MLflow.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Experience with cloud-based data science tools such as AWS Sagemaker.
• Basic understanding of housing market, housing economics, mortgages, and housing construction.
• API development using standard tools such as FastAPI or Flask.

CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We’ve continually refined, transformed, and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate. Zonda is redefining the future of housing. We are perfectly placed in the heart of the fast-growing real estate industry. We are making big bets on the future of real-estate, trailblazing a 2030 vision for the industry. Here at Zonda, you’ll be able to use your passion and curiosity to drive the next generation of real estate analysts, advisors, technologists, and marketers. Learn more about Zonda Zonda is looking for a passionate Data Scientist II to help create, evolve and expand our team. Zonda looks for people who can grow, think, dream, and create. When you join our team, you’ll be in a unique position to make a change with every project. You’ll use your full range of skills to build great relationships and experiences and learn about the real estate industry, economics, marketing and data. You’ll be supported with the necessary tools, and you'll be working with an awesome and like-minded team. Our teams are innovative, diverse, multidisciplinary, and collaborative - all working to build 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. The Data Scientist would achieve this through the application of established processes of data analytics, experiments, engaging with stakeholders the findings and subsequently developing code for production. This will involve working with other data scientists or ML Engineers and business stakeholders. This role requires good cross disciplinary skills across databases, analytics, statistics, and modelling. The person should able be able to work independently in a DevOps environment, often collaborating with stakeholders from other technical teams as well as business teams. Good communication skills with an ability to demystify ML algorithms and capabilities is a must, as stakeholders in ML products include software engineering teams as well as non-technical business partners. Working at CoStar Group means you'll enjoy a culture of collaboration and innovation that attracts the best and brightest across a broad range of disciplines. As well as having an outstanding working environment based in the Blue Fin building. Other perks include full private medical cover, dental cover, Life Assurance and member rewards, 28 days annual leave, a competitive pension, season ticket loans, enhanced maternity and paternity pay and much more! At CoStar, we recognize the positive value of diversity and promote equality. We aim at all times to recruit the person who is most suited to the job and welcome applications from people of all backgrounds including but not limited to; people of all genders, of all ages, sexual orientations, ethnicities, nationalities, religions and beliefs. The final salary or hourly rate offered for this role will fall within the range set forth below based on a variety of factors, including but not limited to, geographic location, skills, and competencies.
CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing