Senior Data Scientist — AI, MLOps & Generative AI

ELLIOTT MOSS CONSULTING PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Elliott Moss Consulting Pte. Ltd. is seeking an experienced Data Scientist to lead strategic Data Science and AI initiatives, delivering data-driven solutions for complex business problems in a housing-focused context.

You will collaborate with IT, data engineering, and business units to deploy end-to-end ML/AI systems on cloud platforms such as AWS. The role requires 5+ years in Data Science/ML, strong MLOps knowledge, and hands-on experience with LLMs, Generative AI, and vector databases.

Qualifications

• 5+ years of professional experience in Data Science, ML, AI, or a closely related field.
• Bachelor's or master's degree in computer science, Data Science, Statistics, Mathematics, Engineering, or another relevant quantitative discipline.
• Strong problem-solving capabilities with MECE, root cause analysis, and hypothesis-driven problem solving.
• Strong understanding of MLOps principles and end-to-end model development, deployment, monitoring, and lifecycle management.
• Strong experience deploying ML/AI solutions in AWS.
• Theoretical and practical knowledge of ML/DL algorithms and architectures including transformers, reinforcement learning, statistics, optimization, and multi-criteria decision analysis.
• Hands-on experience in AI Engineering: LLMs, Generative AI, neural embeddings, vector databases, LangChain/LangGraph.
• Experience with data engineering for Data Science: ELT concepts, structured data transformation, database technologies, data preparation.
• Strong programming in Python, R, SQL, Shell.
• Strong communication and stakeholder management; data visualization and presentation.
• Strong team collaboration, peer-review, and continuous improvement.

Responsibilities

• Work on strategic Data Science and AI projects using advanced analytics and ML techniques.
• Identify opportunities and create high-impact, business-focused solutions.
• Develop, deploy, and monitor ML/AI solutions with ML Ops.
• Ensure data quality, efficiency, and scalability of solutions.
• Collaborate with IT, data engineering, and business units to meet requirements.
• Translate business challenges into analytical and technical requirements; present insights.
• Stay current with AI developments and emerging tools and practices.
• Review peers' work and contribute to best practices.

Skills

Data Science

Python

R

SQL

Shell scripting

MECE framework

Root cause analysis

Hypothesis testing

MLOps

AWS

LLMs

Generative AI

Neural embeddings

Vector databases

LangChain

LangGraph

Data engineering

Communication

Education

Bachelor's or Master’s in CS/DS/Statistics/Math/Engineering

Tools

AWS

LangChain

LangGraph

Vector databases

Job description

Elliott Moss Consulting Pte. Ltd. is seeking an experienced Data Scientist to lead strategic Data Science and AI initiatives, delivering data-driven solutions for complex business problems in a housing-focused context.

You will collaborate with IT, data engineering, and business units to deploy end-to-end ML/AI systems on cloud platforms such as AWS. The role requires 5+ years in Data Science/ML, strong MLOps knowledge, and hands-on experience with LLMs, Generative AI, and vector databases.