ਐੱਚ
Senior Data Scientist
Singapore · ਪੂਰਾ ਸਮਾਂ
ਅਰਜ਼ੀ ਦੇਣ ਵਾਲੇ ਪਹਿਲੇ ਵਿਅਕਤੀ ਬਣੋ
- ਅਨੁਭਵ
- 5+ ਸਾਲ
- ਤਨਖਾਹ
- —
- ਖੁੱਲ੍ਹਣ ਵਾਲੀਆਂ ਥਾਵਾਂ
- 1
- ਪੋਸਟ ਕੀਤਾ ਗਿਆ
- ਘ ਇੱਕ ਕਾਂਟਾ
- ਕੰਮ ਮੋਡ
- ਦਫ਼ਤਰ ਵਿੱਚ
- ਰੈਜ਼ਿਊਮੇ
- ਅਰਜ਼ੀ ਦੇਣ ਲਈ ਲੋੜੀਂਦਾ ਹੈ
ਤੁਸੀਂ ਕਿੱਥੇ ਕੰਮ ਕਰੋਗੇ
ਕੰਮ ਦਾ ਵੇਰਵਾ
Role Overview
As a Senior Data Scientist at Happy Hour Games Pte Ltd in Singapore, you will collaborate extensively with multidisciplinary teams to leverage data for addressing product challenges. Your expertise will drive experimentation, predictive analytics, and behavioral analysis to enhance player engagement, retention, and monetization.
Key Responsibilities
- Collaborate with Product Managers, User Acquisition, and Engineering teams to apply data-driven solutions for product and business issues.
- Design, conduct, and interpret A/B testing to validate assumptions and quantify product impacts.
- Develop predictive models forecasting metrics such as lifetime value (LTV), player churn, retention rates, behavior patterns, and conversion trends to aid strategic decisions.
- Analyze player behavior and game metrics to identify avenues for improving engagement, retention, and revenue generation.
- Create advanced player segmentation and personalized data-driven experiences to better understand and motivate players.
- Deliver actionable insights and strategic recommendations that empower Product Managers in decision-making processes.
- Construct scalable data science frameworks and continuously optimize their effectiveness.
- Keep abreast of the latest developments in data science and artificial intelligence to integrate innovative techniques and tools.
Candidate Profile
- Minimum of five years' experience in data science within the mobile gaming sector.
- Demonstrated capability in resolving complex product and business challenges through data analytics.
- Solid foundation in statistics, machine learning, predictive modeling, and experimental design methodologies.
- Extensive hands-on experience with designing and analyzing A/B tests for product enhancement.
- Advanced skills in Python programming and SQL database querying.
- Proven experience handling large-scale player datasets and generating predictive models related to LTV, churn, retention, segmentation, or recommendation systems.
- Strong analytical reasoning with the ability to distill complex datasets into clear, actionable insights.
- Excellent communication and cross-functional collaboration skills with Product, Engineering, and Marketing teams.
Employee Benefits
- An encouraging and supportive learning atmosphere.
- Focus on personal well-being and professional development.
- The opportunity to contribute significantly to a rapidly expanding industry.