Avepoint

Data Scientist

Reads like a ML Engineer role: putting models into production.

Singapore

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

Apply at Avepoint

What you’ll work on

Full posting

Work with business users to find priorities and propose data science or GenAI solutions
Research AI techniques and pick relevant ones for the company to adopt
Clean, preprocess and engineer features from data for analysis
Support daily operations of deployed models, including AI assistants and bots
Develop backend APIs and services for AI model deployment and integration

From the employer’s posting

Collaborating with business users to understand their key priorities and use cases

Researching emerging AI/data science techniques and identifying relevant ones for EDB to explore and adopt

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

What you’ll bring

All qualifications

Core experience

Bachelor's degree in computer science, engineering, ML, data science or AI, or related field
Able to apply AI/ML techniques for regression and classification
Familiar with Python data packages such as pandas, scikit-learn and spaCy
Understanding of LLM concepts and architectures such as RAG
Proficient in git and SQL

Qualification wording

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)

Proficient in git, SQL

Education & alternatives

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

Tools in this posting

C#
Python
R
SAS
SQL
TypeScript
AWS
Docker
Kubernetes
Power BI
Tableau
FastAPI
Flask
Hugging Face
Matplotlib
pandas
React
scikit-learn
Transformers
XGBoost

Source

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

- 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)

- 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.

- 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)

- 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)

- Proficient in modern programming languages (e.g. typescript, C#) - Experience in cloud platform and services preferably in AWS - Experience in Docker/Kubernetes

- 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)

- 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:

- 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)

Posting record

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Open 5 monthsWe first saw this posting 166 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: May 17, 2026 · 166 days ago
Recorded sightings: 188
Last seen by us: Oct 30, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

Have your resume and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the pay range before committing time to the process.

Complete your application on www.avepoint.com. The employer’s form will show what is required.

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Job description

View original posting ↗

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.

Source details

View original posting ↗

Source notes

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Pay

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Location & working pattern

Singapore

Working pattern and location restrictions need checking in the full posting.

Work authorization

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Open source at www.avepoint.com ↗Read the full description ↓

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