Data Scientist

Job details

Work model

On-site

Salary

Not listed by source

Location

Singapore

Occupation

Data Scientists(O*NET 15-2051.00)

Hiring context

How this role compares at AvePoint

AvePoint has 298 live roles in MeritLog’s catalog across 11 job families, and 45 of them are in data & analytics. 0 of those listings publish a pay range, a disclosure rate of 0%.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

Job description

Your roles and responsibilities include: • Collaborating with business users to understand their key priorities and use cases; proposing and developing solutions using data science and/or Generative AI techniques to drive business value • Researching emerging AI/data science techniques and identifying relevant ones for EDB to explore and adopt (e.g. Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation) • Data wrangling & analysis - preprocessing, cleaning and feature engineering • Supporting the daily operations and maintenance of deployed data science models and products, including Assistants on PAIR / AIBots • Developing backend APIs and services to support AI model deployment and integration • Building frontend interfaces and user experiences for AI-powered applications • Documenting changes to existing products • Reviewing and implementing fixes for reported security vulnerabilities; JOB REQUIREMENTS To perform this role, you must have/ be: • Minimum of Bachelor’s Degree in Computer Science, Computer Engineering, Machine Learning / Data Science / AI or related disciplines; • Able to understand and apply a range of AI/ML techniques for regression and classification • Familiar with popular python packages ( e.g. pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy ) • Understanding of LLM concepts (e.g. context windows, embeddings, chunking, token management) and architectures (e.g. RAG) • Experience with context engineering techniques and prompt optimization strategies • Proficient in git, SQL • Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy) Bonus skillsets which will allow you to excel in this role include: • Proficient in modern programming languages (e.g. typescript, C#) • Experience in cloud platform and services preferably in AWS • Experience in Docker/Kubernetes • Experience with web frameworks and full-stack development, including backend frameworks (e.g. FastAPI, Flask, Express.js) and RESTful API development, and frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript) • Experience with LLM frameworks (e.g. LangChain, LlamaIndex, Hugging Face Transformers) • Knowledge of vector databases and embedding techniques (e.g. Pinecone, Chroma, FAISS) • Understanding of AI agent frameworks and multi-agent systems • Strong presentation skills and ability to explain technical concepts clearly to a non-technical audience • Proficient in statistical software tools (e.g. R, SAS) Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice.

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