Data Science Analyst

8 hours ago

Central Singapore Emprego SG Full time

**Location**

Singapore, Central Singapore

**Job Type**

Full Time

**Salary**

$3,300 - $6,600 Per Month

**Date Posted**

4 hours ago

Additional Details

**Job ID**

4761

**Job Views**

1

Roles & Responsibilities

As a trusted partner to cargo stakeholders around the world, PSA Cargo Solutions offers distinctive port-centric cargo solutions to benefit cargo owners and service providers with the ability to better manage their cargo flows for greater efficiency, agility and resilience. We are looking for a Data Science Analyst to join our fast-growing team to help us achieve our strategic goals, focusing on logistics/supply chain areas.
- Create value through developing data analytics solutions that supports PSA global objectives as well as local business requirements.
- Proactively work with key internal customers associated with new and existing business initiatives to understand, shape, agree and deliver on their data analytics requirements.
- Responsible for ideation, design, development and deployment of data analytics solutions, descriptive to prescriptive based on the requirements.
- Select features, build and optimize classifiers using machine learning techniques from large and diverse datasets.
- Analyse high-volume, high-dimensionality and high-volatility structured and/or unstructured data to obtain business insights and recommendations using statistical techniques and PSA Data Analytics Platform
- Work and collaborate with data science and data engineering team at all stages of CRISP-DM Methodology
- Align to PSA data policy, data governance standards and best practices and document as required
**Skills Requirements**
- Programming skills in at least one statistical programming language preferably Python, knowledge in Statistics and machine learning techniques.
- Experience in one of the visualization tools, preferably Power BI and experience in building data models/cubes using SSAS or Azure Analysis Services
- Full development lifecycle experience for the data analytics solutions such as business & data understanding, data preparation, model development, visualization, validation and deployment.
- Experience in developing statistical models in both supervised and unsupervised machine learning techniques for a variety of data analytics problems.
A good degree in Computer Science, Statistics, Data Management, Engineering and /or Masters in Business Analytics or a related field.
- Effective communicator who can work with diverse stakeholders to define requirements, refine data analytics use cases and present the data insights.
- Strong interpersonal and presentation skills and ability to manage cross cultural differences and sensitivities.
**Experience**
- Fresh graduates are welcome to apply. However, good to have 2-3 years of experience as a data scientist or data analyst in developing data analytics models/solutions as well as working in a data science team.

Tags

data

science

analyst

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