Data Scientist

Kake; Singapore; Hybrid; SGD 80,000 - 120,000; Full time

Job summary

A leading tech company in Singapore is seeking a Product Data Scientist. This role involves delivering data-driven insights and building metrics to inform product strategy. The ideal candidate has a strong background in data science, proficiency in Python and SQL, and excellent communication skills. Collaborating closely with product managers and cross-functional teams is essential for driving product improvements.

Qualifications

• Hands-on experience in research, experimentation, and product improvements.
• Proficiency in statistics and experiment design.
• Product-focused with the ability to collaborate effectively with PMs.

Responsibilities

• Deliver data-driven insights to inform product direction.
• Design and execute experiments to measure impact.
• Build and maintain dashboards to monitor product performance.

Skills

Data Science

Statistics

A/B Testing

Python

SQL

Tools

Snowflake

Superset

Eppo

Airflow

Job description

Overview

We’re seeking a Product Data Scientist with strong technical skills and a true ownership mindset. The ideal candidate won’t just execute assigned tasks but will proactively identify opportunities to improve processes and product performance. You’ll work closely with Product Managers and cross-functional teams (design, engineering, marketing, research) to translate complex data into actionable insights that shape product strategy and growth.

The team is based in Germany, so you’ll need at least 6 hours of overlap with it.

What You’ll Do

• Partner with Product Managers and cross-functional stakeholders to deliver data-driven insights that inform product direction.
• Design and execute experiments (A/B testing, experimentation frameworks) to measure impact and support decision-making.
• Develop clear product recommendations from complex data analyses.
• Build and maintain metrics, dashboards, and reports to monitor product health, growth, and performance.
• Help strengthen data infrastructure and experimentation workflows.

What We’re Looking For

• Strong foundation in Data Science with hands-on experience in research, experimentation, and product improvements.
• Expertise in statistics, A/B testing, and experiment design, with a proven ability to drive actionable recommendations.
• Product-focused background — comfortable collaborating with PMs and translating insights for both technical and non-technical teams.
• Proficiency in Python and SQL for data manipulation, modeling, and reporting.
• Excellent communication skills and a proactive, ownership-driven mindset.

Nice to Have

• Experience with Snowflake, Superset, Eppo, or Airflow.
• Background in SEO, acquisition, conversion optimization, or growth analytics.
• Experience in consumer tech or other high-growth product environments.