Company
| Legal Name | Real Estate Analytics Ltd |
| Headquarters | Singapore, Singapore |
| Website | https://rea-hk.com |
Roles & Responsibilities We are a start-up whose mission is to research, develop and implement the next generation real estate modeling and analytics tools for global markets. As a small and internationalised team, we work hard and smart, we eat and share laughs together whenever we can. Interested parties, please send your CV to [email removed] Duties & Responsibilities: Drive and lead data science related products Develop and manage streaming data pipelines at enterprise scale. Build expertise on the data. Own data quality for various data flows. Design and build new framework and automation tools to enable teams to consume and understand data faster Build, validate, test, and deploy models and algorithms. Developing short and long-term data strategy plans Key skills & qualifications required: MS or PhD in a quantitative discipline: Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, Economics, etc. Deep technical and data science expertise, including experience in the following: linear regression, GLMs, time series, supervised machine learning, design of experiments, segmentation/clustering, text mining, network analysis, optimization, simulation Strong knowledge in SQL, R, Python, PostGRESql, Spark, Hadoop/Hive Experience with Big Data and real-time analytics Experience with batch ETL jobs to ingest and process data from multiple data sources Personal Competencies: The position requires considerable self-direction and is best suited for adaptable and articulate individuals Effective verbal and written communication skills Creative thinking backed by strong analytical and problem-solving skills. Self-motivated, innovative, and proactive. Willing to learn new knowledge and explore unfamiliar domains
| Country | City | Job Ads |
|---|---|---|
| Singapore | Singapore | 89 |
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Legal Form: Ltd
Company Type: Private
Company Size: 51 - 250
Job Ads found: 89
Job Ads per Month: 2.9
Hiring Locations: 1
| Date of first job ad | 02.01.2020, 09:09 |
| Date of last job ad | 08.05.2026, 00:14 |
| Date merged | 17.05.2026, 20:54 |
| Date created | 02.01.2020, 09:09 |