DIGITAL PLACE VISION PTE. LTD. Hiring! Full Time Senior Data Scientist in Central Region (Singapore), Earn up to SGD 6,000 - Ricebowl

We are looking for a Senior Data Scientist who can translate complex retail and supply chain problems into robust analytical and machine learning solutions. This role is critical in shaping our core AI capabilities - from problem framing and experimentation to model validation and business impact measurement. You will work closely with Engineers, Product, Analysts and Clients to ensure our models drive measurable value.

Responsibilities:

• Lead end-to-end data science work by translating complex retail and supply chain business problems into well-defined analytical, statistical, machine learning, or optimization solutions, including demand forecasting, inventory optimization, replenishment, pricing, and promotion analytics.

• Perform deep exploratory data analysis, feature engineering, experimentation, and model development, selecting appropriate techniques and clearly addressing trade-offs between accuracy, process speed, scalability, and business constraints.

• Define, implement, and evaluate model performance using both technical and business-aligned metrics (e.g. WAPE, MAPE, VN1, bias, and service levels), including backtesting and validation against real-world scenarios.

• Partner closely with Engineers, Product, Analysts and Clients to ensure smooth transition from research to production, including defining data requirements, feature logic, validation rules, and post-deployment performance monitoring.

• Communicate insights, assumptions, limitations, and recommendations clearly to both technical and non-technical stakeholders, and contribute to data science best practices, reusable modeling frameworks, and mentorship of junior team members.

Requirements:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related quantitative field.

• 4+ years of experience in data science, applied machine learning, or quantitative analytics, with a strong foundation in statistics, probability, time series analysis, and optimization techniques.

• Proven experience building and validating forecasting, predictive, or optimization models using real-world, large-scale, and imperfect datasets.

• Strong proficiency in Python and common data science libraries (Pandas, NumPy, SciPy, Scikit-learn, Statsmodels); experience with PyTorch or TensorFlow is a plus.

• Solid experience working with SQL databases and collaborating with engineering teams to productionize models.

• Ability to design experiments, conduct rigorous backtesting, interpret results, and clearly communicate findings.

• Experience in retail, supply chain, or related domains is highly desirable; familiarity with cloud platforms, optimization solvers, or ML tooling is a plus.

What We Offer:

• An opportunity to participate in the development of AI systems with real-world retail impact.
• A collaborative and innovation-first culture that values speed, integrity, and technical depth.
• Competitive salary commesurate with experience.