Data Scientist/Engineer- PERM (West)

🏢 Zenith Infotech(s) Pte Ltd · all Zenith Infotech(s) Pte Ltd jobs
📍 Singapore
💰 SGD 5,000 - 6,500 / annual
📅 Posted 2026-07-11 · via Himalayas
🏷 Software-Engineer,Data-Science,Machine-Learning-Engineering,Data-Engineering,Python-Development,Data-Science-Engineer,Senior-Data-Science-Engineer,Senior-AI-ML-Data-Engineer,Data-Scientist
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We are looking for a Data Scientist/Engineer who is a versatile professional who uses analytical, statistical, and programming skills to collect, analyze, and interpret large datasets to help organizations make data-driven decisions.

 Job Responsibilities:

- Work closely with a team of scientists and researchers to concept and iterate on software development

- Develop and deploy data science prototypes, with a focus on bringing machine learning models into production.

- Working with Big Data Tools: Use technologies like Hadoop, Spark, and distributed databases to handle large-scale datasets.

- Work with cloud-based data platforms like AWS, Google Cloud, or Azure for storage, computing, and analysis.

- Design and implement scalable and high-performance machine learning models, with a focus on troubleshooting performance and accuracy issues

- Gather structured and unstructured data from various sources such as databases, web services, APIs, and data streams.

- Build data cleaning and augmentation pipelines for both machine learning and deep learning model-based projects

- Automate processes and workflows for efficient delivery of data science products via scripting and open source tools.

Job Requirements:

- Degree in Computer Science, Computer Engineering or equivalent

- 0-2 years of relevant experience

- Experience in real-world data science projects, internships, hackathons, and personal projects

- Expertise in Python programming and using libraries for data processing, visualization, and model development, including pandas, numpy, scikit-learn,matplotlib, and seaborn

- Knowledgeable in API concepts and libraries, and experienced in utilizing them for testing and deployment, leveraging frameworks such as Flask, Django, or FastAPI

- Familiar with databases (e.g. NoSQL, PostgreSQL, MongoDB) and SQL for data storage and retrieval

Originally posted on Himalayas

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