Job Requirements
Skills
Job benefits
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Vacation & Leaves
Feel a need for a short break from work? our company is quite flexible when it comes to leaves; be it for vacation, sick, personal, or mental health days. Simply discuss what you need and we will try to cater to those.
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Team-building events
Our company simply cannot function well without teams of people working together. That said, we provide numerous team-building activities and events for you and your team to nurture meaningful relationships between every individual.
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Career growth
Ever feel stuck with your career? We don't hire you simply because we needed to fill an empty slot. Together, we will help you shape and grow your career so you can progress further and rediscover your true sense of purpose at work.
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Gifts & Vouchers
We believe that every contribution you make, big or small, counts and deserves appreciation. For your hard work, we show recognition through delightful gifts and vouchers that you can use to treat yourself.
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Job description for Data Scientist at Synapsis.id
- 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
- Visualize data using appropriate tools and techniques to communicate findings effectivel
- 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.
- 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, preferably in a start up environment.
- Proficiency in programming languages such as Python or R for data analysis and machine learning.
- Strong understanding of statistical concepts and techniques, with practical experience in applying them to real-world problems.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) and techniques.
- Knowledge of big data processing frameworks such as Hadoop or Spark is a plus.
- Halim, East Jakarta.
- Cilandak, South Jakarta (Alamanda Tower 11th Floor).
- Umbulharjo, Yogyakarta.
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