Data Scientist

BUTTERFLY EFFECT PTE. LTD.; Singapore; On-site; SGD 100,000 - 180,000; Full time

Job summary

Butterfly Effect Pte. Ltd. is seeking a senior analytics professional to drive data-driven decisions across product, growth and engineering teams. You will design analytics frameworks, define business metrics, and build scalable analytics applications using Python and SQL.

You will design and evaluate experiments (A/B tests), apply data mining, ML, NLP and LLM methods to large structured and unstructured data, and visualise findings in dashboards to support management and operations.

Qualifications

• 5+ years in business analytics or data science.
• Proficient in SQL and Python.
• Experience with metric design, forecasting and root-cause analysis.
• Clear communicator with technical and business stakeholders; comfortable with AI tools.

Responsibilities

• Develop and implement analytics techniques and applications.
• Design analysis frameworks for product commercialization and operations.
• Define business metrics, track changes and identify key drivers.
• Create dashboards and reports; collaborate with teams to implement recommendations.

Skills

SQL

Python

A/B testing

Data visualization

Analytics

Tools

NLP tools

LLMs

Job description

Key Responsibilities

Develop and implement data analysis techniques and analytics applications using Python, SQL and visualisation tools. Design analysis frameworks for product commercialisation and company operations. Define business and product metrics, track metric changes, identify key drivers and provide actionable recommendations.

Design and evaluate A/B tests for user onboarding, product features, messaging and monetisation. Apply data mining, data modelling, machine learning, natural language processing (NLP) and LLM methods to analyse large structured and unstructured datasets, including product usage, user feedback and AI agent data.

Visualise, interpret and report data findings through reports, dashboards and analytics agents for Management, Product and Engineering teams. Partner with Product, Engineering, Growth and Finance teams to implement recommendations and review business results.

Requirements

At least 5 years of experience in business analytics, product analytics, data analytics or data science. Experience with internet or AI products is preferred.

Proficient in SQL and Python. Strong experience in metric design, business modelling, metric forecasting, root-cause analysis and A/B testing.

Able to turn analytical findings into decisions and actions. Able to communicate clearly with technical and business stakeholders.

Comfortable using AI tools in daily work.