Lowongan Kerja Data Scientist Middle NodeFlair Terbaru di Indonesia

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Lowongan Kerja Data Scientist Middle Indonesia September 2025 NodeFlair

Berikut ini adalah persyaratan yang harus Anda penuhi untuk mengajukan lamaran Lowongan Kerja Data Scientist Middle Indonesia September 2025 NodeFlair yang dibuka pada bulan September 2025 ini:

Job Summary

Job Type
Permanent

Seniority
Mid
Years of Experience
At least 1 year

Tech Stacks
TensorFlow Analytics R PyTorch SQL Python

Job Description

Job Description

• Identify, collect, and preprocess diverse datasets from various sources to ensure data quality and reliability.
• Processing, cleansing, and verifying the integrity of data used for analysis.
• Develop scripts or workflows for data cleaning, transformation, and normalization.
• Collaborate with cross-functional teams including business analysts and software developers to integrate data science solutions into business applications and systems.
• Communicate effectively with non-technical stakeholders to understand business requirements and deliver actionable insights.
• Develop business and machine-learning model from data owned by the company and / or client.
• Visualize data using appropriate tools and techniques to communicate findings effectively.
• Design, develop, and implement machine learning models, algorithms, and predictive analytics to solve business problems and optimize processes.
• Implement machine learning algorithms such as decision trees, random forests, neural networks, and clustering techniques.
• Experiment with new techniques and technologies to enhance analytical capabilities and drive innovation within the organization.

Job Requirements

• Graduate from Bachelor, Diploma 3, Diploma 4 degree from IT, Computer Science, Statistics, Mathematics or other related majors.
• Proven experience as a Data Scientist or in a similar role for minimum 1 year, preferably in IT industry.
• Proficiency in programming languages such as Python or R for data analysis and machine learning.
• Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn
• Proficiency in SQL and database management systems for querying and manipulating large datasets.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and techniques.
• Solid understanding of statistical methods, hypothesis testing, and experimental design.

Placement (Choose one)

Halim, East Jakarta.
Cilandak, South Jakarta (Alamanda Tower 11th Floor).
Umbulharjo, Yogyakarta.

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