Opportunity Data Science work from LinkedIn, X, Reddit and Upwork, in one list. Find me work
dataroles

Data Scientist

AvePoint avepoint.com Open · verified Oct 24, 2026
Singapore Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at AvePoint. Singapore · full-time.

Pay not stated Data Scientist salary

RoleData Science
SeniorityMid-level
LocationSingapore
EmploymentFull-time
PostedApr 13, 2026 · 6mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Work with business users to identify priorities and use cases, then build data science or generative AI solutions around them
  • Assess newer AI methods, such as agents, language models and anomaly detection, for potential use
  • Prepare datasets through cleaning, preprocessing and feature creation, then analyze the results
  • Keep deployed models and products running, build APIs and interfaces, document product changes, and fix reported security issues

What you bring

  • A bachelor's degree or higher in computer science, computer engineering, machine learning, data science, AI or a related discipline
  • You can apply AI and machine learning methods to regression and classification problems
  • You understand language-model concepts and retrieval-augmented generation, and have practiced prompt improvement and context design
  • You use Python data packages, Git, SQL and business intelligence tools

Who this fits

This mid-level role suits someone who can work across data preparation, model support and application development. The position is based in Singapore.

From the employer

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.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.