Data Scientist

About the Position

Data Scientist

Pronet Gaming

Location: Sofia, Bulgaria

Job Type: Full-time, On-site

---

You will be part of a department that covers both the BI and AI needs of the company. This role combines the responsibilities of a Data Scientist and a BI Developer. You will be involved in the entire data lifecycle, from data collection (SQL) and advanced modeling (machine learning, Python) to data visualization for end users using Tableau.

As a Data Scientist, you will help us uncover valuable insights hidden within vast amounts of data and enable smarter decision-making to deliver even better products. Your primary focus will be on applying data mining techniques, performing statistical analyses, and building high-quality prediction systems integrated within our products.

The BI aspect of the role focuses on empowering the business with data-driven insights that support strategic decision-making and operational efficiency. We are looking for someone who is passionate about transforming data into actionable insights and thrives in a dynamic, collaborative environment.

Responsibilities

• Business Communication: Understand business requirements and translate them into effective technical solutions.
• 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, etc.) 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.

Requirements

• 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 communication and interpersonal skills, fluent in English
• Must be collaborative, curious, business-focused, resilient, adaptable, and passionate about technology

We Offer

• Additional annual leave days
• Day off on your birthday
• Additional health insurance and dental service coverage
• Multisport card
• Food Vouchers
• Employee assistance program
• Flexible working hours
• Remote work with casual visits in the office
• Attractive annual bonus
• Referral bonus
• Training and development opportunities