Data Scientist
PT. Perusahaan Hijau Tua sekalian dong
- Penuh waktu
- On-site • Jakarta Selatan
- Negotiable
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Deskripsi Pekerjaan
- Collecting and processing data from various sources: You will be responsible for obtaining data from a variety of sources such as databases, APIs, and public data sources.
- Cleaning and transforming data: Once you have the data, you will need to clean it, handle missing values, and transform it into a format that can be analyzed.
- Exploring and analyzing data: You will use various statistical and machine learning techniques to analyze the data, identify patterns, and draw insights.
- Building predictive models: Based on your analysis, you will build predictive models that can be used to make data-driven decisions.
- Communicating findings: You will need to present your findings to stakeholders in a clear and concise manner, using visualization tools and other methods as needed.
- Implementing and deploying models: You will be responsible for taking the models you build and deploying them in production, where they can be used to make predictions in real-time.
- Monitoring and updating models: Once your models are deployed, you will need to monitor their performance and update them as necessary to ensure that they continue to deliver accurate predictions.
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Kualifikasi
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Job Description
- Taking ownership of full stack development and working alongside other engineers on web applications (end-to-end experience with React.js and Node.js preferred, though we welcome anyone with interest in learning new tech stacks)
- Establishing continuous deployment of automated build, test, and release pipelines
- Writing clean, testable, scalable, efficient, and well-documented code in an agile environment (JavaScript, Python, SQL, C#, etc.)
Job Description
- Taking ownership of full stack development and working alongside other engineers on web applications (end-to-end experience with React.js and Node.js preferred, though we welcome anyone with interest in learning new tech stacks)
- Establishing continuous deployment of automated build, test, and release pipelines
- Writing clean, testable, scalable, efficient, and well-documented code in an agile environment (JavaScript, Python, SQL, C#, etc.)
Tips Menjaga Diri
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