Data Scientist/Engineer- PERM

2 days ago


Singapore Zenith Infotech Full time

Data Scientist/Engineer – PERM (West) Join to apply for the Data Scientist/Engineer – PERM (West) role at Zenith Infotech . This role 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, focusing on bringing machine learning models into production. Use Big Data tools such as 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, 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 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 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. Seniority level Entry level Employment type Full-time Job function Engineering and Information Technology #J-18808-Ljbffr



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