Data Scientist

A. Job Description

Data Science & Machine Learning

• 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.

B. Requirements

Knowledge & Experience

• 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.

C. Benefits

Why Join PixOn?

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.

1. Compensation & Recognition

• Rewards based on individual performance and the company’s business results.
• 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.

2. 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 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.

3. 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.

4. Benefits

• 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).

5. 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.

6. 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.

CV + portfolio/link sent to email: talent@pixon.games

Title: Name - Apply for the position of Data Scientist