Senior Data Scientist

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A staffing services firm in Singapore is seeking a Data Analyst to support Global Payments analysis requirements. The ideal candidate holds a Bachelor's degree in Computer Science or related fields and has at least 2 years of experience in data analysis. Proficiency in SQL and familiarity with programming languages like C++, Java, or Golang is a plus. This role involves building data products and utilizing data insights to improve payment solutions.

Qualifications

• At least 2 years of experience in data analysis.
• Proficient in SQL and familiarity with programming languages is a plus.
• Excellent data analysis capabilities.

Responsibilities

• Support analysis requirements for Global Payments.
• Use data-driven techniques to enhance payment products.
• Build data products to provide insights and best practices.

Skills

Data analysis

SQL

Big data platforms (Hive/Spark)

C++/Java/Golang

Education

Bachelor degree in Computer Science, Statistics, Mathematics

Job description

Responsibilities

• Responsible for supporting analysis requirements for Global Payments, such as ad-hoc analysis report, dashboards building, data tracking design, etc;
• Use data-driven techniques to find weaknesses in payment products and implement improvements proactively
• Build data products to provide our customers with data insights and best practices in the Payments domain
• Cooperate with Products and Operation teams to define system requirements, build data products, improve and roll-out product features to support business.

Qualifications

• Bachelor degree or above in Computer Science, Statistics, Mathematics or other related majors
• At least 2 years of experiences and above
• Proficient in SQL, familiar with C ++/Java/Golang is a plus
• Proficient in big data platforms such as Hive/ Spark
• Excellent data analysis capabilities
• Experience in supporting and optimizing business needs with data analysis
• Background in internet companies or payments is a plus
• High interest in Data Analysis, Data Mining is a plus