Real-Time ML Data Scientist in Bali

TyrAds; Dalung; On-site; IDR 300,000,000 - 540,000,000; Full time

Job summary

TyrAds is a Bali-based, in-office Data Scientist role focused on shipping real-time ML systems and improving them post-launch. You will work on scoring models, recommendations, fraud signals, and the data pipelines behind them.

The ideal candidate has 3+ years of DS/ML experience, strong Python (pandas, numpy, scikit-learn), SQL (CTEs, window functions), and expertise with XGBoost/LightGBM. Familiarity with A/B testing and communicating insights is required.

Qualifications

• 3+ years in DS/ML with production experience.
• Strong Python (pandas, numpy, scikit-learn).
• Strong SQL (CTEs, window functions, large tables).
• XGBoost/LightGBM and evaluation (AUC).
• Experience with A/B testing and communicating insights.
• Git and Docker basics.
• Clean, maintainable code.

Responsibilities

• Analytics & Iteration: Investigate funnel and performance issues, find patterns, propose fixes.
• Design and analyze experiments (A/B tests, holdouts).
• Build post-launch evaluation and turn findings into clear recommendations for product/engineering stakeholders.
• Real-time ML in Production: Build and deploy real-time scoring/recommendation models; work with latency constraints.
• Monitoring & Model Health: Set up monitoring for live models; define guardrails and alerts; suggest improvements.

Skills

Python

Pandas

NumPy

Scikit-Learn

SQL

Window functions

XGBoost

LightGBM

A/B testing

Communication of insights

Git

Docker

Databricks

Spark

MLflow

GitHub

Monitoring/observability

Tools

Databricks

Spark

MLflow

GitHub

Jira

Docker

Job description

TyrAds is a Bali-based, in-office Data Scientist role focused on shipping real-time ML systems and improving them post-launch. You will work on scoring models, recommendations, fraud signals, and the data pipelines behind them.

The ideal candidate has 3+ years of DS/ML experience, strong Python (pandas, numpy, scikit-learn), SQL (CTEs, window functions), and expertise with XGBoost/LightGBM. Familiarity with A/B testing and communicating insights is required.