Build and optimize predictive forecasting models (ARIMA, Prophet, Neural Nets).
Validate, test, and automate model workflows.
Analyze data and present clear insights to stakeholders.
Develop data pipelines and ensure model accuracy.
Integrate LLMs (e.g., GPT) to enhance forecasting and automate reports.
Master’s/PhD in Statistics, Mathematics, Computer Science, or related fields.
3–5 years of experience in data science, with strong focus on forecasting.
Proficient in Python/R and various time series & machine learning techniques.
Experience with databases (MSSQL), data visualization tools, and cloud platforms (GCP is a plus).
Bonus: Strong knowledge of Prompt Engineering & working with LLMs (GPT, BERT, etc.).
Send your CV to: recruitment@pyfa.co.id with subject: [DS_Name]
Instagram: @lifeatpyfa
LinkedIn: PT Pyridam Farma Tbk