Senior Data Scientist (Mobile Games)

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

Benefits offered by this job

Relocation Support

Supportive Learning Environment.

Well-being and Personal Growth.

Impactful Work in a Growing Industry.

Job summary

Happy Hour Games Pte Ltd is seeking a Senior Data Scientist to partner with cross-functional teams and tackle product challenges with data-driven approaches. You will experiment, build predictive models, and analyse player behaviour to inform strategies that boost engagement, retention, and monetisation.

You will translate complex analyses into clear recommendations for Product, Engineering, and User Acquisition, continually improving experimental design and ML methods while staying current with

Qualifications

• Bachelor's degree or above in data science or related quantitative field.
• 5+ years of data science experience in mobile gaming.
• 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 (LTV, churn, retention, segmentation).
• Excellent communication and stakeholder management with cross-functional collaboration with Product, Engineering and UA teams.

Responsibilities

• Partner with Product Managers, User Acquisition, and Engineers to solve product and business 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 (e.g. LTV, churn, retention, segmentation, recommendations).
• Translate complex analyses into clear, actionable insights and recommendations for Product Managers.
• Improve experimentation methodologies and predictive models to increase business impact.
• Stay up to date with the latest data science advancements and apply them where value is created.

Skills

Python

SQL

Statistics

A/B testing

Data analysis

Critical thinking

Education

Bachelor's degree in a quantitative field

Tools

Pandas

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.