Senior Decision Science Analyst - ML & Big Data (Hybrid)

American Express; Singapore; Hybrid; SGD 80,000 - 100,000; Full time

Job summary

A global financial services company in Singapore seeks a Decision Science professional to develop advanced models and algorithms aimed at enhancing customer experiences. Responsibilities include building data-driven insights, collaborating with cross-functional teams, and utilizing big data tools. A Master's in a quantitative field and expertise in analytical programming are required, alongside strong communication skills. This role offers competitive salaries, bonuses, and benefits including flexible working arrangements.

Benefits

Competitive base salaries

Bonus incentives

Comprehensive medical benefits

Flexible working model

Career development opportunities

Qualifications

• Master's in Computer Science, Statistics, Mathematics, Physics, or relevant field.
• Experience with sophisticated analytical and machine learning techniques.
• 1-2 years experience in AI/ML or Data Analytics.

Responsibilities

• Build reports and machine learning models to enhance customer experience.
• Collaborate with product owners to refine product design.
• Work with digital data and sophisticated tools in a Big Data environment.

Skills

Analytical language expertise (Python, R)

Deep understanding of machine learning algorithms

Strong communication skills

Ability to work in a team

Attention to detail

Education

Masters in a quantitative field or MBA

Tools

SQL

Excel

PowerPoint

Job description

A global financial services company in Singapore seeks a Decision Science professional to develop advanced models and algorithms aimed at enhancing customer experiences. Responsibilities include building data-driven insights, collaborating with cross-functional teams, and utilizing big data tools. A Master's in a quantitative field and expertise in analytical programming are required, alongside strong communication skills. This role offers competitive salaries, bonuses, and benefits including flexible working arrangements.