SoftwareSeni
Data Sceintist
Skills
10 days ago
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Important information
Contract type:
Permanent
Location:
Yogyakarta, Yogyakarta City, Special Region of Yogyakarta, Indonesia
Work mode:
Onsite
Published on:
16 October 2026
What they need
Requirements:
- 3+ years of experience in Data Science, Statistics, or a related quantitative field.
- Proven experience in statistical estimation methodologies, including small-area estimation, Bayesian/hierarchical modeling, or survey statistics.
- Proficiency in Python and R for advanced statistical modeling; strong SQL skills for data extraction and manipulation.
- Advanced understanding of statistical analysis. While machine learning knowledge is valued, the focus is on rigorous statistical research rather than pure engineering or general ML implementation.
- Ability to distill complex statistical findings into clear, actionable insights for non-technical business stakeholders.
Responsibilities:
- Design and implement advanced statistical estimation models (e.g., Bayesian or hierarchical models) to address specific business research questions.
- Develop and refine statistical frameworks to provide more accurate population estimates and trend analyses.
- Present complex statistical outputs through clear, intuitive reports and dashboards that facilitate data-driven decision-making for leadership.
- Partner with existing in-house engineering teams to integrate statistical models into business operations and strategy.
- Ensure high standards of data quality and methodological rigor while maintaining compliance with data privacy regulations and internal best practices.
⚠️ Note: This position requires fluency in English, as most communication will be conducted in English. If you’re confident (or eager to grow) in using English at work, this position could be a great fit.
Disclaimer: By submitting your application, you consent to PT Software Services Indonesia collecting and processing the information you provide for recruitment purposes only. The information will be treated confidentially and used solely to evaluate your application for current or future employment opportunities with us.
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