Data Scientist & BI Specialist for iGaming

Pronet Gaming; Manila; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

Pronet Gaming is seeking a Data Scientist/BI specialist to join the Data team. You will cover data collection, advanced modelling, and data visualization using Tableau and Power BI to empower business decisions.

Strong skills in SQL and Python, with knowledge of ML techniques, will help build predictive systems and insightful dashboards for global markets. English fluency is essential; Turkish is a plus.

Qualifications

• Advanced knowledge of SQL and Python.
• Basic knowledge of Tableau/Power BI, Linux, and version control systems.
• Skilled in applying statistical analysis and basic machine learning methods to real-world business problems.
• Excellent analytical, organizational, and problem-solving skills with minimal supervision.
• Strong communication and interpersonal skills; fluent in English; Turkish a plus.
• Must be collaborative, curious, business-focused, resilient, adaptable, and passionate about technology.

Responsibilities

• Understand business requirements and translate them into a working solution.
• Data engineering (SQL): collect data from different sources to use in ML models/Tableau visualizations.
• ML model development (Python): develop, deploy and monitor ML models to aid business decisions.
• Data analytics (Tableau): build dashboards for end users to gain quick insights.
• Storytelling: explain complex statistical results into understandable insights for business users.
• Curiosity and precision: identify unusual patterns and collaborate with data engineering to fix issues.

Skills

SQL

Python

Statistical analysis

Machine learning

Analytical skills

Problem solving

Tools

Tableau

Power BI

Linux

Version control

Job description

Pronet Gaming is seeking a Data Scientist/BI specialist to join the Data team. You will cover data collection, advanced modelling, and data visualization using Tableau and Power BI to empower business decisions.

Strong skills in SQL and Python, with knowledge of ML techniques, will help build predictive systems and insightful dashboards for global markets. English fluency is essential; Turkish is a plus.