Senior Data Scientist

Position Overview

Join our core team and be at the forefront of data innovation. This role involves leveraging cutting-edge technologies in Big Data, AI, and Cloud infrastructures to create impactful solutions.

We seek a critical thinker who thrives on solving complex algorithmic challenges, designing advanced machine-learning systems, and extracting actionable insights from large-scale datasets. Beyond technical expertise, collaboration and adaptability are key—teamwork and personality matter just as much as skills. If you’re excited about shaping the future of behavioral data and working on game-changing projects, we’d love to hear from you.

Key Responsibilities & Requirements

• 5+ years of experience in software engineering, data analysis, and data science.
• Proven ability to develop innovative solutions in domains with limited references or open-source implementations.
• Hands-on experience with production-grade machine learning systems handling large-scale data.
• End-to-end AI solution implementation, from data collection and annotation to deployment and maintenance.
• Proficiency in Python and key data science libraries.
• Expertise in PySpark and Big Data technologies (e.g., Spark, Databricks).
• Strong understanding of cloud platforms (e.g., GCP, AWS, Azure).
• Analytical mindset with attention to detail and a research-oriented approach.
• Excellent communication skills in English, both verbal and written.
• Ability to collaborate with stakeholders and explain technical insights to non-technical audiences.

Preferred Qualifications

• Experience with time-series or signal processing data, particularly from mobile/PC sensors.
• Familiarity with fraud detection or anti-cheat data analysis.
• Background in the gaming industry.
• Experience working in early-stage startups and dynamic environments.
• Contributions to or management of open-source projects using Git.

We'd love to connect if you’re passionate about data science, machine learning, and solving unique challenges!