Senior Data Scientist - Global Analytics & Platform Lead

DHL Express (Singapore) Pte. Ltd; Singapore; On-site; SGD 100,000 - 150,000; Full time

Job summary

A leading logistics company in Singapore is seeking a Senior Data Scientist with over 10 years in Data Analytics and 5 years in data science to develop innovative analytics products and lead projects. The role demands strong expertise in programming languages like Python, R, or SQL, and proficiency in machine learning and statistical analysis. Leadership and communication skills to collaborate with cross-functional teams are essential. The ideal candidate will drive data-driven solutions and updates on data science advancements.

Qualifications

• 10+ years of experience in Data Analytics, 5+ years in data science (AI/ML).
• Good knowledge of customer relationships, e-commerce, and logistics operations.
• Proficiency in statistical analysis and data visualization techniques.
• Experience with Agile and DevOps methodologies.

Responsibilities

• Lead and mentor individual projects developed by other teams.
• Identify data-driven opportunities and measure business impact.
• Monitor and propose improvements for analytics models.
• Update the community with advancements in data science technologies.

Skills

Expert in data science techniques

Strong programming skills in Python, R, or SQL

Statistical analysis and machine learning

Leadership and team management

Strong communication skills

Education

Advanced degree in Computer Science, Engineering, Information Systems, or related field

Job description

A leading logistics company in Singapore is seeking a Senior Data Scientist with over 10 years in Data Analytics and 5 years in data science to develop innovative analytics products and lead projects. The role demands strong expertise in programming languages like Python, R, or SQL, and proficiency in machine learning and statistical analysis. Leadership and communication skills to collaborate with cross-functional teams are essential. The ideal candidate will drive data-driven solutions and updates on data science advancements.