Data Science Analyst

**About our client**

Our client is a leading port group and trusted partner to cargo stakeholders. Their global network encompasses 160 locations in 42 countries around the world. The Group’s portfolio comprises over 60 deep-sea, rail and inland terminals, as well as affiliated businesses in supply chain management, logistics, marine and digital services.

**Data Science Analyst**

**Job Overview**:
As a member of the team, 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 through client’s global network of ports, logistics and supply chain solutions.

**Job Descriptions**:

- Create value through developing data analytics solutions that supports client’s 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-dimensionally and high-volatility structured and/or unstructured data to obtain business insights and recommendations using statistical techniques and client’s Data Analytics Platform.
- Work and collaborate with data science and data engineering team at all stages of CRISP-DM Methodology.
- Align to data policy, data governance standards and best practices and document as required.

**Job Requirements**:
Skills Requirements:

- Expertise in Python programming language, in-depth knowledge of AI/ML libraries/techniques and knowledge in statistical methods useful to develop data analytics solutions for a diverse range of use-cases.
- Experience in one of the visualisation tools, preferably Power B1 and experience in building data models/cubes using SSAS or Azure Analysis Services.
- Full development lifecycles experience for the data analytics solutions such as business and 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 Master 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.

Are you ready for a challenging and exciting endeavour that will require the investment of a lot of hard work, dedication and all your experience? Are you ready to bring your skills and competencies to support the establishment and enhancement of our client’s business? If yes, you might be exactly the new team member they are looking for

Please submit your updated and comprehensive CV in **MS WORD FORMAT ONLY (NOT PDF) **with full career details, stating current or last drawn salary with full breakdown such as base, incentives, AWS, etc. and expected salary, contact details, educational qualifications, working experiences, reasons for leaving each past employment(s) and availability date to:
**What our client offers**

**_Develop Your Potential: _**

They emphasise and offer exciting rotations, learning and development opportunities, which will fuel your career aspirations and complement your business exposure across their global network.

**_Diverse, Equal Opportunity: _**

They build a sustainable work culture where their people feel welcome, valued, respected and able to express their ideas and beliefs freely. They believe that diversity of thought and approaches in their workplace makes them stronger as a team.

**_Competitive Compensation and Benefits: _**

They are committed to recognising and rewarding your contributions to the business. They benefits packages aim to improve your quality of life by providing support for medical, dental, recreation, among others.

**Personal Data Protection Statement for Job Applicants**

**Thank You**

**THOMAS CHAN | MOM CEI No: R1766693 | Benchmark Staffing Solutions |MOM EA License: 21C0679 | UEN: 53435609E