The Data Scientist role involves designing experiments, analyzing model performance, and integrating ML features while collaborating in an Agile environment.
Temus is a Temasek-backed consulting firm providing digital transformation solutions for the private and public sectors. We aspire to be a strategic partner in realising the Singapore Government’s Smart Nation vision. We are headquartered in Singapore and have more than 400 employees across a wide range of disciplines in strategy, design, architecture, technology, data & AI.
Responsibilities
- Design and run experiments to evaluate emerging generative and statistical models (e.g., diffusion-based, autoregressive, probabilistic models).
- Analyze model performance, identify failure cases, and improve robustness across different data types and structures.
- Tune hyperparameters, refine architectures, and propose new modeling approaches.
- Collaborate with engineers to build ML-powered product features (e.g., data imputation, constraint handling, preprocessing pipelines).
- Develop and recommend approaches for features such as multi-column constraints, data quality handling, and evaluation metrics (e.g., utility, privacy).
- Diagnose and resolve issues related to model training, output quality, and system integration.
- Translate technical findings into clear, user-friendly insights and documentation.
- Work closely with cross-functional teams to integrate ML components into production systems.
- Participate in Agile development processes, including design discussions and code reviews.
Requirements
- Minimum 2 years of hands-on experience in data science or machine learning roles.
- Strong foundation in machine learning, with experience in model development and experimentation.
- Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
- Ability to analyze model behavior, troubleshoot issues, and improve performance through experimentation.
- Experience translating research or new techniques into practical implementations.
- Working knowledge of backend development (e.g., REST APIs, FastAPI, Flask).
- Familiarity with cloud platforms (AWS preferred) and software development practices (Git, CI/CD).
- Strong communication skills and ability to work with both technical and non-technical stakeholders.
- Comfortable working in a fast-paced, collaborative Agile environment.
Temus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, partnership status, sexual orientation, or gender identity.
We see the diversity of our team as a strategic advantage, and we work actively to maintain it.
By applying for this role, you have read and acknowledge the data privacy statement via this link - temus.com/job-applicant-data-protection/
Temus Singapore, Singapore, SGP Office
Mapletree Business City, 80 Pasir Panjang Road, 22-81, Singapore, Singapore, 117372
Similar Jobs
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Lead technical strategy for payments optimization to balance conversion, fraud risk, and cost. Design and implement advanced optimization algorithms, guide experimentation and causal inference, collaborate with product and engineering to deploy ML systems at scale, influence product strategy, and mentor junior data scientists.
Top Skills:
A/B TestingAgentsAICausal InferenceContextual BanditsExperimentationLlmMl Systems/DeploymentPythonRSQL
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Partner with Product and Engineering to analyze large datasets, run experiments, build statistical models, define product metrics, forecast outcomes, and deliver insights that drive product strategy and roadmap decisions.
Top Skills:
Dimensional Data ModelingPythonRSchema DesignSQL
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Join Micron as a Data Scientist to apply data analysis and machine learning expertise toward innovations in memory, storage, AI, and related products. The posting emphasizes company mission, inclusion, and application process; specific role responsibilities and qualifications are not listed.
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
