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Data Science Analyst

2 weeks ago

Singapore NodeFlair Full time

**Job Summary**:
**Salary**
S$5,000 - S$10,000 / Monthly

**Job Type**

**Seniority**

Mid

**Years of Experience**
At least 4 years

**Tech Stacks**
Analytics Azure Python

As a member of #TeamPSA, you will be part of a diverse and global team at the forefront of creating cargo solutions to enable more agile, resilient and sustainable supply chains. Experience first-hand and drive supply chain transformation from Singapore and through PSA’s global network of ports, logistics and supply chain solutions. Alongside, we can move the world
- **_Develop Your Potential:_** We emphasise and offer exciting rotations, learning and development opportunities, which will fuel your career aspirations and complement your business exposure across our global network.
- **_Diverse, Equal Opportunity:_** We build a sustainable work culture where all our people feel welcome, valued, respected and able to express their ideas and beliefs freely. We believe that diversity of thought and approaches in our workplace makes us stronger as a team.
- **_Competitive Compensation & Benefits:_** We are committed to recognising and rewarding your contributions to the business. Our benefits packages aim to improve your quality of life by providing support for medical, dental, recreation, among others.
- 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**
- Expertise in Python programming language, in-depth knowledge of AI/ML libraries/techniques and knowledge in statistical methods useful to develop data analytic solutions for a diverse range of use-cases.
- Experience in one of the visualisation 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 AI/ML models in supervised, unsupervised and reinforcement 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**
- At least 4 years of experience as a data science analyst or data scientist in developing data analytics solutions as well as working in a data science team.