Data Science Analyst

PSA International; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading company in transportation and logistics is seeking a Data Science Analyst to join their Data For Excellence team. The role involves developing data analytics solutions, collaborating with stakeholders, and utilizing machine learning techniques to generate insights from large datasets. Ideal candidates will have a strong background in data science and effective communication skills.

Qualifications

• Proficiency in Python and AI/ML libraries is crucial.
• Degree in a relevant field is required.
• Effective communication skills for stakeholder engagement.

Responsibilities

• Develop data analytics solutions supporting PSA's objectives.
• Collaborate with stakeholders to fulfill data analytics requirements.
• Analyze high-volume data to generate insights.

Skills

Python

AI/ML libraries

Statistical methods

Data visualization

Data modeling

Supervised learning

Unsupervised learning

Reinforcement learning

Open-source technologies

Communication skills

Education

Degree in Computer Science

Degree in Statistics

Degree in Data Management

Degree in Engineering

Master's in Business Analytics

Tools

Power BI

SSAS

Azure Analysis Services

Job description

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Job Description

This role will be an integral part of PSA Group Data For Excellence (DFE) team, which drives and promotes the application of data science and AI/ML solutions to PSA businesses globally.

Responsibilities

• Create value by developing data analytics solutions supporting PSA's global and local objectives.
• Collaborate with internal stakeholders to understand and deliver on data analytics requirements.
• Design, develop, and deploy data analytics solutions, from descriptive to prescriptive.
• Select features and optimize classifiers using machine learning techniques on large datasets.
• Analyze high-volume, high-dimensional data to generate insights using statistical techniques and PSA Data Analytics Platform.
• Work with data science and engineering teams following the CRISP-DM methodology.
• Adhere to data policies, governance standards, and document processes accordingly.

Skills Requirements

• Proficiency in Python, with knowledge of AI/ML libraries and statistical methods.
• Experience with visualization tools like Power BI and building data models using SSAS or Azure Analysis Services.
• Experience across the data analytics lifecycle: understanding, preparation, modeling, visualization, validation, deployment.
• Knowledge of supervised, unsupervised, and reinforcement learning techniques.
• Ability to apply open-source data science technologies on large datasets for insights and solutions.
• Degree in Computer Science, Statistics, Data Management, Engineering, or a Master's in Business Analytics or related field.
• Effective communication skills for stakeholder engagement and presenting insights.

Experience

• Preferred candidates include those with experience as a data analyst or data scientist; fresh graduates with strong academic backgrounds and interest are also encouraged to apply.

Additional Details

• Seniority level: Associate
• Employment type: Full-time
• Job function: Other
• Industries: Transportation, Logistics, Supply Chain and Storage