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Open nowPosted today

Senior Data Scientist

MyCareersFuture93,320 open roles

Pay
SGD 6,000 – SGD 9,000 a month
Where
Central, Singapore
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Your applicationOpen nowSenior Data ScientistMyCareersFuture · Central, Singapore

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The clock on this job

Early applications get read.

9.1% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 7 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.9%3 days
  3. 9.1%7 days
  4. 15.5%14 days
  5. 34.0%30 days
This job: posted today

MyCareersFuture median: 7 days open

The posting

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.
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