Senior Data Scientist (Mobile Games)

Happy Hour Games; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Relocation Support

Learning Environment

Well-being & Personal Growth

Impactful Work in Gaming

Job summary

Happy Hour Games in Singapore is seeking a Senior Data Scientist to partner with Product Managers, Engineers, and Marketing to solve product challenges using data to boost engagement and monetisation.

You will design and analyse experiments, build predictive models (LTV, churn, retention), and translate complex analyses into actionable recommendations for decision makers.

The role offers a collaborative environment with relocation support and opportunities to grow in a growing gaming company.

Qualifications

• Bachelor's degree or above in a quantitative field.
• 5+ years of Data Science experience in mobile gaming.
• Proven ability to solve product problems with data.
• Strong stats, ML, experimental design, and A/B testing skills.
• Experience with large-scale player data and predictive models.

Responsibilities

• Partner with Product Managers, User Acquisition, and Engineers to solve product challenges using data.
• Design, analyse, and evaluate A/B tests to validate hypotheses and measure product impact.
• Analyse player behaviour and game performance to identify opportunities to improve engagement, retention, and monetisation.
• Develop and apply statistical, machine learning, and predictive models (LTV, churn, retention, segmentation, recommendations).
• Translate complex analyses into clear, actionable insights for Product Managers.
• Improve experimentation methodologies and predictive models to increase business impact.
• Stay up to date with advancements in data science and AI and apply them where value is created.

Skills

Data Science

Statistics

Machine Learning

Experimentation

Python

SQL

Communication

Stakeholder Management

Education

Bachelor's degree or above in Data Science, Computer Science, Statistics, Mathematics, Engineering

Tools

Python

SQL

A/B Testing

Job description

As a Senior Data Scientist, you will partner with cross-functional teams to solve product challenges using data. Through experimentation, predictive modelling, and player behaviour analysis, you will provide insights and recommendations that help improve player engagement, retention, and monetisation.

At Happy Hour Games, you'll have the opportunity to make a meaningful impact on our games and our players. If you enjoy solving challenging problems and building products that players love, we would love to hear from you!

What You'll be Doing

• Partner with Product Managers, User Acquisition, and Engineers to solve product and business challenges using data.
• Design, analyse, and evaluate A/B teststo validate hypotheses and measure product impact.
• Analyse player behaviour and game performanceto identify opportunities to improve engagement, retention, and monetisation.
• Develop and apply statistical, machine learning, and predictive models(e.g. LTV, churn, retention, player segmentation, recommendation, and conversion) to support product decisions.
• Translate complex analyses into clear, actionable insights and recommendationsto help Product Managers make informed product decisions.
• Improve experimentation methodologies, analytical frameworks, and predictive models to increase business impact.
• Stay up to date with the latest advancements in data science and AI, applying them where they can create value.

What We're Looking For

• Bachelor's degree or above in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• 5+ years of Data Science experience in the mobile gaming industry.
• Proven experience solving complex product and business problems using data.
• Strong expertise in statistics, machine learning, predictive modelling, experimental design, and A/B testing.
• Experience working with large-scale player data and building predictive models such as LTV, churn, retention, player segmentation, or recommendation models.
• Strong proficiency in Python and SQL.
• Strong analytical and critical thinking skills, with the ability to translate complex data into actionable recommendations.
• Excellent communication and stakeholder management skills, with experience collaborating closely with Product, Engineering, and User Acquisition teams.

Benefits

• Relocation Support
• Supportive Learning Environment.
• Well-being and Personal Growth.
• Impactful Work in a Growing Industry.