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Zenith Infotech(s) Pte Ltd Himalayas · Posted 19d ago

Data Scientist/Engineer- PERM (West)

Singapore SGD 5000 6500 Full time

Data Science Machine Learning Engineering Data Engineering Software Engineering
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Indexed description

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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