Data Scientist (Malaysian Only)

Infosys; Kuala Lumpur; On-site; MYR 60,000 - 85,000; Full time

Job summary

A leading tech company in Kuala Lumpur is seeking a Data Scientist to build impactful data science products and perform data analyses. Candidates should have 2+ years of experience in data science and familiarity with machine learning principles. Strong communication and programming skills in languages like Python or Java are essential. This role offers the opportunity to work within a cross-disciplinary team focusing on value delivery.

Qualifications

• 2+ years of experience in designing and maintaining data science products.
• Understanding of statistics and machine learning principles.
• Hands-on development experience in Python or Java.

Responsibilities

• Build scalable and impactful data science products.
• Perform data analyses to provide actionable business insights.
• Advocate for best practices in data science.

Skills

Python

SQL

Data analysis

Statistical knowledge

Communication skills

Education

MSc or PhD in a quantitative field

Tools

Hadoop

Spark

Job description

Overview

Job Description for Data Scientist

Development experience in one or more object-oriented programming languages (e.g. Python, Java).

Experience working closely with other data scientists, data engineers, software engineers, data managers and business partners.

Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers.

Can carry out data analyses to yield actionable business insights.

Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining, and documenting reliable and scalable data science products in complex environments.

Applied knowledge of data science tools and approaches across all data lifecycle stages.

Thorough understanding of underlying mathematical foundations of statistics and machine learning.

Development experience in one or more object-oriented programming languages (e.g. Python, Java).

Strong software engineering and ML system design experience.

Advanced SQL knowledge.

Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail.

Need candidate with very strong communication skills (including written).

Responsibilities

• Part of a cross-disciplinary team, working closely with other data scientists, data engineers' software engineers, data managers and business partners.
• Build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers.
• Carry out data analyses to yield actionable business insights.
• Adhere to and advocate for data science best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation).
• Present results to peers and senior management.
• Actively contribute to improve developer velocity and mentor others if needed

Qualifications

Essential

• Hands-on experience (typically 2+ years) designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments.
• Applied knowledge as part of a team (if not leading) of data science tools and approaches across all data lifecycle stages.
• Thorough understanding of underlying mathematical foundations of statistics and machine learning.
• Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++)
• Basic SQL knowledge.
• Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail.
• Strong stakeholder management and ability to lead large organizations through influence.
• Continuous learning and improvement mindset.

Desired

• Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus.
• Knowledge of experimental design and analysis is a plus.
• No prior experience in the energy industry required.
• MSc or PhD degree in a quantitative field. Preferable