Data Scientist

About Wisers

Wisers is a leading expert in business intelligence and media big data analytics, leveraging advanced AI technologies to provide insights for over 3,000 corporate clients across all industries, including both public and private sectors. Our top-tier Chinese NLP, computer vision, and augmented analytical technologies transform vast amounts of data into actionable insights, helping our clients make strategic decisions.

About The Job

As a Data Scientist, youll leverage LLMs, machine learning, and scalable engineering to transform unstructured data - including social media and proprietary datasets - into actionable, real-time intelligence. Your work will be at the heart of our AI-driven platform, where advanced NLP models and distributed systems combine to deliver cutting-edge analytics for clients, effectively bridging raw data with strategic decision-making.

Key Responsibilities

  • Design and maintain scalable data pipelines (batch/streaming) for ingesting and processing terabytes of unstructured text.

  • Optimize ETL workflows for efficiency and low-latency (e.g., Apache Airflow, Kafka, or cloud-native tools).

  • Collaborate with engineers to productionize models (APIs, microservices, serverless functions).

  • Develop and fine-tune NLP models (sentiment analysis, topic clustering, entity extraction) for Chinese/English text.

  • Experiment with LLM augmentation (e.g., RAG, prompt engineering) for automated insight generation.

  • Implement model monitoring to track performance drift in production.

  • Build AI agents (e.g., LangChain, AutoGPT) to automate repetitive analysis tasks.

  • Containerize models using Docker and deploy via CI/CD pipelines (GitHub Actions, GitLab CI).

  • Write clean, maintainable code with unit tests and logging (Pytest, Logging Library).

  • Work with cloud platforms (AWS/GCP/Azure) to optimize cost and performance (e.g., serverless vs. batch processing).

  • Debug and profile bottlenecks in data workflows (e.g., Spark optimization, DB indexing).

About You

Core Competencies

  • Masters+ in Statistics, Data Science, CS, or related quantitative field

  • 2- 4 years data science experience with software engineering exposure

  • ML: Supervised/unsupervised learning, model evaluation, optimization

  • Solid background in statistical modeling and related knowledge

  • NLP: Text processing, sentiment analysis, topic modeling, LLMs (BERT, fine-tuning, RAG)

  • Engineering: Python (Pandas, Sklearn), Git, SQL/NoSQL, APIs, Docker

  • Fluent in English and Chinese (Mandarin)

  • Continuous learner (side projects, MOOCs, open-source)

  • Growth mentality - challenges as opportunities

  • Strong problem-solving & analytical thinking

  • Collaborative yet self-driven  

Preferred Qualifications

  • MLOps (MLflow, Kubeflow)

  • Distributed computing (Spark/Dask)

  • Cloud services (AWS/GCP)

Why Join Us?

At Wisers, youll have the opportunity to make a significant impact in a steadily growing organization with immense potential. We offer:

  • Competitive salary with discretionary bonuses

  • Comprehensive medical insurance, including dental benefits

  • Exposure to SOTA AI capabilities through unparalleled hands-on experience p across NLP, computer vision, and other emerging paradigms

  • Friendly, dynamic, and collaborative working environment

  • Fully stocked pantry with a variety of games for relaxation

If you meet the qualifications and are ready to take on this exciting opportunity, please submit your resume along with your current and expected salary. Apply now! 

(Data collected will be treated as strictly confidential and will be used for recruitment purposes only)


Information :

  • Company : Wisers Information Limited
  • Position : Data Scientist
  • Location : Wan Chai, Hong Kong Island
  • Country : HK

Attention - In the recruitment process, legitimate companies never withdraw fees from candidates. If there are companies that attract interview fees, tests, ticket reservations, etc. it is better to avoid it because there are indications of fraud. If you see something suspicious please contact us: support@jobkos.com

Post Date : 2025-07-07 | Expired Date : 2025-08-06