About the Role
Data Scientist II – Zonda - Glasgow, Scotland, United Kingdom
Zonda is looking for a passionate Data Scientist II to help create, evolve and expand the team. The Data Scientist II is a mid-level position responsible for Data Science and modelling in the realm of housing data, achieved through the application of established processes of data analytics, experiments, engaging with stakeholders on findings and subsequently developing code for production. This will involve working with other data scientists or ML Engineers and business stakeholders. The role requires good cross disciplinary skills across databases, analytics, statistics, and modelling, and the ability 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.
Responsibilities
•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.
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 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.
•Master's in a specific field such as Statistics, Data Science, Machine Learning, or AI (desirable).
•Familiarity with ML experiment tracking, model versioning, and lifecycle management tools such as MLflow (desirable).
•Familiarity with containerization and orchestration tools like Docker and Kubernetes (desirable).
•Experience with cloud-based data science tools such as AWS Sagemaker (desirable).
•Basic understanding of housing market, housing economics, mortgages, and housing construction (desirable).
•API development using standard tools such as FastAPI or Flask (desirable).
About CoStar Group / Zonda
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. CoStar has been living and breathing the world of real estate information and online marketplaces for over 35 years. Zonda is redefining the future of housing, placed in the heart of the fast-growing real estate industry, making big bets on the future of real-estate and trailblazing a 2030 vision for the industry.
Benefits
•Outstanding working environment based in the Blue Fin building.
•Full private medical cover.
•Dental cover.
•Life Assurance and member rewards.
•28 days annual leave.
•Competitive pension.
•Season ticket loans.
•Enhanced maternity and paternity pay.
The final salary or hourly rate offered for this role will fall within the range set forth based on a variety of factors, including but not limited to, geographic location, skills, and competencies.
