At a Glance
- Tasks: Analyse housing data, develop models, and collaborate with diverse teams to drive innovation.
- Company: Join CoStar Group, a leader in real estate analytics and information.
- Benefits: Enjoy competitive salary, private medical cover, 28 days leave, and more perks.
- Other info: Dynamic work environment with opportunities for growth and collaboration.
- Why this job: Make a real impact in the evolving real estate industry with cutting-edge technology.
- Qualifications: 3+ years in Data Science, proficiency in Python, SQL, and strong analytical skills.
The predicted salary is between 60000 - 60000 £ per year.
Company Overview: 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.
About Zonda: 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.
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 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.
Major Job Responsibilities and Related Duties:
- 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.
Qualifications:
- 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.
Nice to have:
- 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.
What’s in it for you?
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. Base Compensation: £60,000.
CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing.
Data Scientist II - Zonda - Glasgow, Scotland, United Kingdom employer: CoStar Group
CoStar Group is an exceptional employer that fosters a dynamic and collaborative work culture, empowering employees to thrive in their roles as Business Development Consultants. With a strong focus on professional growth, you will have access to extensive training and development opportunities while working in vibrant cities like Manchester, Leeds, and Liverpool, where you can engage with industry leaders and make a significant impact in the real estate sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist II - Zonda - Glasgow, Scotland, United Kingdom
✨Get Involved in Data Science Meetups
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist II - Zonda - Glasgow, Scotland, United Kingdom at CoStar Group.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like CoStar Group.
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We think you need these skills to ace Data Scientist II - Zonda - Glasgow, Scotland, United Kingdom
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at CoStar Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at CoStar Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at CoStar Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at CoStar Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
