Data Scientist

Butterfly Effect; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Butterfly Effect in Singapore is seeking a senior data analytics professional to design and implement analytics solutions for product and operational use. You will build metrics, dashboards and analytics applications using Python, SQL and visualization tools to illuminate business drivers.

You will lead experiments, apply ML/NLP methods to large datasets and translate findings into actionable recommendations for Management, Product and Engineering teams.

Qualifications

• 5+ years of experience in business analytics or data science.
• Proficient in SQL and Python with strong data modelling and metric design.
• Experience designing and evaluating experiments (A/B tests) and presenting findings to stakeholders.
• Familiar with AI tools and applying ML/NLP methods to large datasets.

Responsibilities

• Develop analytics techniques and frameworks to support product commercialization and operations.
• Design and evaluate experiments for onboarding, features, monetisation; apply ML/NLP to large datasets.
• Create dashboards and reports; partner with Product, Engineering, Growth and Finance to implement actions and review results.

Skills

SQL

Python

A/B testing

Data visualization

Data analysis

Machine Learning

NLP

Communication

Stakeholder management

Job description

Key Responsibilities

1. 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.

2. 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.

3. 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.