Job Requirements
Job benefits
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Flexible work hours
Productivity curve is not something steady and consistent as it depends on each person's unique traits and preferences. At our company, as long as your team is in sync and your goal is hit, you can flexibly decide when you want to work.
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Remote work options
Thanks to technology, we no longer have to be physically present at the office to be productive. Joining our company allows you to work anywhere without place-constraint.
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Medical insurance
To ensure your health and wellbeing, you have various medical plans to choose from depending on your situation and unique needs. From partial up to full medical coverage, we got you covered.
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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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Skills
Job description for Data Scientist at Pt Simplefi Teknologi Indonesia
Job Description
- Conduct data exploration and discovery, and advanced data mining analysis on spatial-temporal data, user behavioral data, transaction data, machine/device log data, and others
- Conduct experiments with data, build working prototypes to demonstrate ideas and results
- Build scalable pipeline and data science models with open source systems or proprietary tools
- Collaborate with business teams to contribute to new use cases for solving clients’ problems
- Participate in IP creation, such as patenting, case studies, white papers and research papers as determined by business needs
Requirements
- 3+ years experience of successful application of machine learning, data mining, and statistical analysis with demonstrable impact and proven track records
- Demonstrated ability to take high level, loosely-defined business problems and identify precise, quantitative solutions
- Working knowledge of databases and query engines for structured and unstructured data, data transformation (ETL), software development methodologies, and data science languages like Python, R, or others
- Self-starter, capable of experimenting with various tools and developing own code and scripts for data manipulation, experimentation, algorithm implementation, accuracy measurements, etc.
- Preferred to have advanced degree in Computer Science, Machine Learning, Operational Research, Mathematics or Statistics, or other equivalent subjects
- Preferred to be familiar with basic software development skills (agile methodologies, testing, version control, …)
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