Remote Data Scientist: Build Pipelines & Dashboards

CLUB TECH GLOBAL PTE. LTD.; Remote; SGD 60,000 - 90,000; Full time

Job summary

A dynamic technology firm in Singapore seeks an experienced Data Scientist to enhance its data ecosystem. You will be responsible for developing SQL models for analytics, validating event tracking, and building performance dashboards using tools like Looker or Tableau. The ideal candidate possesses strong SQL and Python skills, with substantial experience in event-based analytics tools. Join us for a high-impact role with remote working flexibility and opportunities to shape data-driven decisions.

Qualifications

• 2–4 years of experience in a data-focused role.
• Proficient in SQL, can write complex queries without supervision.
• Strong experience with Python data stack: pandas, NumPy, matplotlib/seaborn.
• Hands-on experience with GTM and event-based analytics tools.
• Solid understanding of probability, distributions, hypothesis testing.
• Proven ability to visualize raw data for non-technical stakeholders.

Responsibilities

• Develop and maintain SQL models for analytics and reports.
• Test and validate event triggers for data quality.
• Build and maintain dashboards for monitoring.
• Use Python for data cleaning and preparation.
• Assist in setup and statistical analysis for A/B tests.

Skills

SQL Fluency

Python for Data

Tracking Expertise

Statistical Literacy

Visualization

detail-first mindset

Strong communication skills

Tools

Looker

Superset

Tableau

Google Tag Manager

GA4

PostHog

pipelines (dbt)

Google Cloud Platform (GCP)

Job description

A dynamic technology firm in Singapore seeks an experienced Data Scientist to enhance its data ecosystem. You will be responsible for developing SQL models for analytics, validating event tracking, and building performance dashboards using tools like Looker or Tableau. The ideal candidate possesses strong SQL and Python skills, with substantial experience in event-based analytics tools. Join us for a high-impact role with remote working flexibility and opportunities to shape data-driven decisions.