Data Scientist

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

Gaming operators looking for platform solutions need an omni-channel turnkey provider that truly understands their needs, wants and challenges. That’s why the team at Pronet Gaming have been handpicked for their extensive B2C and B2B industry experience and local-market knowledge in the regions we serve – so that we can provide our clients with first-class service and guidance
Since 1996, our approach to business has been centred around collaboration – working with our clients on a consultancy basis. Every member of our team is customer-focused and we’re committed to helping our operator clients achieve their specific strategic goals across global markets.

We do what we say, on time, every time. We work closely with our clients to provide robust and effective plans of action, working strategically to deliver the optimal iGaming solutions for your specific business objectives and audience needs.

We’re dedicated to progression

We employ industry experts around the world with specialist knowledge in emerging markets and localisation, who keep one step ahead of market trends to ensure that our customers stay ahead of the game.

We invest in the best iGaming developers, design teams and infrastructure around the world to deliver progressive, constantly evolving technological solutions that help to give our operator clients the competitive edge.

You will be a part of department that covers both BI and AI requirements of the company. This role joins the Data scientist profile with BI developer. You will cover the whole lifetime circle of the data, from data collection (SQL), advanced modelling (ML, python) to data visualization for end users (Tableau).

As a Data scientist you will help us to discoverthe informationhidden in vast amounts ofdata andhelp us make smarter decisions to deliver even better products. Your primary focus will beonapplying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.

The BI part of the role will help to empower businesses with data-driven insights to drive strategic decisions and operational efficiency. We are looking for someone who is passionate about transforming data into actionable insights and will thrive in a dynamic, collaborative environment.

Resposibilities:

Business communication: understand what business requirements are and translate this into a working solution

Data engineering (SQL): collection of data from different data sources to use them in ML models/Tableau visualizations

ML model development (Python): develop, deploy and monitor ML models (recommendation engine, marketing intelligence, ...) to help business decision making

Data analytics (Tableau): build dashboards that end users can use to get quick insight into the data

Storytelling: explain complex statistical results into understandable insights that business users can use in their decision-making process

Curiosity and precision: identify unusual patterns in the data, in case of error collaborate with data engineering team to fix the issue

Required Skills and Qualifications:

Advanced knowledge: SQL, Python

Basic knowledge: Tableau/Power BI, Linux, version control system

Skilled in applying statistical analysis and basic machine learning methods to real-world business problems.

Excellent analytical, organizational, and problem-solving skills, capable of working independently with minimal supervision.

Strong communicationand interpersonal skills, fluent in English; Turkish is a plus.

Must be collaborative, curious, business-focused, resilient, adaptable, and passionate about technology.