Performance Scientist

2X; Kuala Lumpur; On-site; MYR 60,000 - 90,000; Full time

Job summary

A leading technology firm is seeking a Data Scientist to enhance marketing effectiveness through advanced analytics and AI tools. The role involves using data science methodologies to conduct A/B testing, predictive modeling, and in-depth analysis. The ideal candidate will possess strong communication skills and a proven track record in a marketing or B2B environment.

Qualifications

• 5+ years of experience in data science or performance analytics.
• Strong proficiency with AI and machine learning tools.
• Experience in data analysis within a marketing or B2B context.

Responsibilities

• Conduct A/B testing and predictive modeling to optimize marketing performance.
• Collaborate with cross-functional teams to align KPIs with marketing goals.
• Generate comprehensive reports on marketing KPIs and trends.

Skills

Data storytelling

Statistical analysis

Predictive modeling

A/B testing

Tools

TensorFlow

PyTorch

Scikit-Learn

Tableau

Power BI

Looker

Job description

The Data Scientist will utilize advanced analytics, data science methodologies, and AI tools to optimize marketing performance. This role is responsible for conducting in-depth data analysis, A/B testing, and predictive modeling to uncover actionable insights, guide strategic decision-making, and continuously improve campaign effectiveness.

Responsibilities

• Conduct A/B testing, predictive modeling, and advanced analyses to identify optimization opportunities and enhance campaign performance across marketing channels.
• Use AI and machine learning tools to extract insights from large datasets, enabling proactive and data-informed strategic adjustments.
• Collaborate closely with the Marketing Operations Manager and other team members to align performance metrics and KPIs with broader business and marketing goals.
• Generate comprehensive reports on marketing KPIs, trends, and predictive data, providing clear, actionable insights that drive continuous improvement.
• Support data hygiene, list management, and shared services across sales operations and RevOps for optimal data accuracy and accessibility.
  
  

Qualifications

• 5+ years of experience in data science, performance analytics, or data analysis within a marketing or B2B environment.
• Proficiency with AI and machine learning platforms such as TensorFlow, PyTorch, Scikit-Learn, and analytics tools like Tableau, Power BI, or Looker is good to have.
• Strong expertise in A/B testing, predictive modeling, statistical analysis, and data storytelling for strategic application.
• Proven ability to translate complex data into accessible insights, supporting actionable recommendations for performance optimization.
  
  

Key Qualities

Data-driven, analytical, innovative, with strong communication skills and a proactive approach to uncovering and implementing data-driven insights for marketing success.