Data Scientist jobs in Singapore
Data Scientist (MRG)
User Experience Researchers Pte Ltd (Singapore)
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A*STAR RESEARCH ENTITIES
Data Scientist: Privacy‑Focused ML & Gen Data Systems
User Experience Researchers Pte Ltd (Singapore)
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TENTEN PARTNERS PTE. LTD
Credit & Fraud ML Data Scientist — End-to-End Modeling
NEURONCREDIT PTE. LTD.
Senior Data Scientist: AI & Conversation Intelligence
Singtel Group
Bioinformatics & Data Scientist – Drug Discovery Analytics
A*STAR RESEARCH ENTITIES
Data Scientist: Patent Data Processing & Quality
PATSNAP PTE. LTD.
Senior Data Scientist, Optimization & Payment Algorithms
AIRWALLEX (SINGAPORE) PTE. LTD.
Senior Data Scientist, Algorithm
AIRWALLEX (SINGAPORE) PTE. LTD.
Clinical Data Scientist – Oncology Analytics & AI
SINGAPORE GENERAL HOSPITAL PTE LTD
Lead Data Scientist, Customer Experience & Governance
TikTok
VP, Data Scientist, Group Legal, Compliance & Secretariat
300005 Chief Executive's Office_00002555
Data Scientist
Job summary
A leading data analytics company in Singapore seeks a qualified individual to build data models and conduct deep data analysis. The ideal candidate will have a master's degree in a relevant field and at least 3 years of experience in data science or related areas. Proficiency in Python and SQL is essential, alongside a solid understanding of machine learning algorithms. Additionally, background in the internet industry or user growth optimization is preferred. This position offers exciting opportunities for data-driven decision-making.
Qualifications
- At least 3 years of experience in data science, machine learning, or advanced data analytics.
- Experience with large-scale datasets containing hundreds of millions of records.
- Strong understanding of common machine learning algorithms.
Responsibilities
- Build core data models covering user lifecycle for LTV prediction and churn risk.
- Conduct data attribution and impact analysis on product features and strategies.
- Design and lead A/B testing and causal experiments.
Skills
Education
- Buildcore data models covering the full user lifecycle, including LTVprediction, churn risk forecasting, payment propensity, and conversionprobability modeling. Develop refined user profiling and segmentationframeworks to identify high-potential and high-value user groups, andtranslate insights into actionable monetization and growth strategyrecommendations for product and operations teams.
- Conductin-depth data attribution and impact analysis on product features,operational campaigns, and key business strategies, quantifying theireffects on user behavior, retention, monetization, and overall revenue tosupport data-driven decision-making.
- Designand lead A/B testing and other causal experiments, establish robustand scientific evaluation metrics, and systematically assess the trueincremental impact of product iterations and strategic adjustments.
- Master’sdegree or above in Statistics, Computer Science, Mathematics, Economics,or a related field, with at least 3 years of experience in datascience, machine learning, or advanced data analytics.
- Strongproficiency in Python (e.g. Pandas, Scikit-learn, XGBoost /LightGBM) and SQL, with hands-on experience handling large-scaledatasets (hundreds of millions of records).
- Solidfoundation in statistics with a deep understanding of common machinelearning algorithms (classification, regression, clustering), andfamiliarity with causal inference methodologies.
- Strongdata-driven mindset and business acumen, with the ability to translatecomplex business problems into quantitative models and convert analyticalresults into actionable business strategies.
- Backgroundin the internet industry, with hands-on experience in commercialization(advertising / games / e-commerce) or user growth optimizationwill be an advantage.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.