Data Scientist

• Design, develop, deploy, and maintain Machine Learning models to solve business and product challenges.
• Build predictive models related to player behavior, including retention, churn prediction, pLTV/ breakeven estimation, and conversion propensity.
• Build pLTV / breakeven prediction models at player and cohort level to drive UA decisions (bidding, scaling, killing campaigns)
• Explore and prototype new ML approaches to improve game performance and operational efficiency.
• Develop scalable ML pipelines and ensure models can be deployed into production environments.

Product Analytics

• Analyze large-scale player behavioral data to uncover actionable insights and identify growth opportunities.
• Monitor and optimize key game KPIs such as Retention, DAU, MAU, ARPDAU, Conversion, Session Length, and Lifetime Value (LTV).
• Partner closely with Product Managers and Game Designers to optimize game progression, level difficulty, economy balancing, and feature performance.
• Translate business questions into analytical frameworks and data-driven recommendations.

Experimentation & Optimization

• Design, execute, and evaluate A/B tests to measure the impact of game features, economy adjustments, live operations, and monetization initiatives.
• Apply statistical methodologies to validate hypotheses and support decision-making.
• Develop experimentation best practices and improve the company’s testing capabilities.

Collaboration & Data Culture

• Work cross-functionally with Product, Game Design, BI, UA, Engineering, and Leadership teams.
• Present complex findings in a clear and compelling manner to both technical and non-technical stakeholders.
• Promote a strong data-driven culture and advocate for best practices in coding, experimentation, documentation, and data governance.
• Share knowledge, mentor teammates when needed, and continuously explore emerging technologies and methodologies.

• Bachelor’s degree or above in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, or related quantitative disciplines.
• 3+ years of hands-on DS work with models shipped to production (not just research or competition work)
• Experience building and deploying end-to-end Machine Learning solutions in production environments.
• Experience working with large-scale datasets and translating insights into business impact.
• Experience in mobile gaming, digital products, or consumer applications is a strong advantage.

Technical Skills

• Minimum Qualifications:
• Core Languages: Strong proficiency in Python and SQL for data manipulation and model development.
• Data Science Fundamentals: Deep understanding of statistical analysis, probability, hypothesis testing, and rigorous experimental design.
• Machine Learning: Deep understanding of Machine learning and deep learning algorithms and hands-on experience building, training, and tuning models using frameworks (from classic libraries like Scikit-learn/XGBoost to deep learning tools like PyTorch/TensorFlow).
• MLOps Practices: Familiarity with the end-to-end ML lifecycle, including model deployment, performance monitoring, version control, and pipeline reproducibility.
• Preferred Qualifications:
• Experience with workflow orchestration tools like Apache Airflow.
• Familiarity with modern data ecosystems and warehouses (e.g., DBT, BigQuery, Firebase).
• Active participation in the data science community, evidenced by Kaggle achievements or open-source contributions.

Soft Skills

• Strong analytical thinking and problem-solving skills.
• Curious mindset with a passion for learning and experimenting with new technologies.
• Ability to communicate complex ideas effectively to diverse audiences.
• Ownership mindset with the ability to work independently and drive initiatives from ideation to execution.
• Collaborative, proactive, and willing to share knowledge with teammates.
• Passion for games and a genuine interest in understanding player behavior.

• A highly competitive total compensation package of up to 14 - 25 months of salary per year, depending on capability and level of contribution.
• Salary review twice a year, based on performance and real impact.
• Clear and diverse reward mechanisms, including fixed 13th-month salary, holiday bonuses, and spot awards for outstanding contributions.

1. Investment in Your Growth * Clear and transparent career development path in both technical and managerial tracks. * Opportunity to work with experienced experts in the game industry and take on challenging problems. * Opportunity to contribute ideas to product development and system improvements., * Annual comprehensive health check-ups. * Full benefits package in accordance with company policies and regulations: annual leave, public holidays, company trips, team building, etc. * Well-equipped pantry with coffee, snacks, instant food, beverages… always available to keep you energized. * Company trips and team building twice a year (domestic or international, depending on annual plans).

2. Working Environment * An open, dynamic, and collaborative working environment that values teamwork and respects expertise. * A culture that encourages experimentation, improvement, and proactive positive change. * Every individual has the opportunity to be heard, to contribute, and to be recognized. * Modern and well-equipped office at FPT building (2000m²+), offering a professional and inspiring workspace.

3. Working Hours * Monday to Friday (8:30 AM - 5:30 PM, with a 1.5-hour lunch break). * Weekends off, promoting a healthy work-life balance.

At PixOn, we believe exceptional games are built by exceptional people in an environment where every individual is empowered, developed with intention, and recognized fairly., * Annual training budget for learning, courses, workshops, and professional development aligned with your career path.

• Opportunities to represent PixOn at leading global game events (GDC, ChinaJoy, G-Star, etc.) for learning and networking, fully sponsored by the company.

1. Long-term Support * A zero-interest home loan policy of up to VND 50 billion for outstanding talents, together with housewarming gifts and cashback support. * Lunch allowance of VND 1,500,000 per month and free parking. * PixOn Team Fund supporting team bonding and internal development activities.