Data Science Analyst

Roles & Responsibilities

In this role, you will be reporting to the IT Business Engagement APAC, Data Scientist, to analyse operational and market data, propose and build predictive models to implement proof-of-concepts (POC) and minimum-visible products (MVP) to solve real-time shipping industry challenges. This role supports the engagement team to define functional requirements, and technical documentations to facilitate industrialization of POC / MVPs for production-grade implementations. There is an opportunity to participate in end-to-end solutioning and not limited to data science modelling projects.

We are looking for a motivated and detail-oriented data science professional to join our growing team in the Asia Pacific Regional office in Singapore.

MAIN RESPONSIBILITIES :

• Gather business requirements from business users
• Develop front end mock-ups and document functional requirements to validate business require-ments with stakeholders
• Collect, cleanse, process and analyse data (company and market data)

Building models to solve real-world problems in the area ofData science not limited to anomaly detection, deep learning, machine-learning, time-series,

Generative AI projects

Operational research not limited to network optimization, shortest path for maritime road

If you are someone having passion in data science, and with great adaptability and interpersonal skills, enjoy taking challenges with a diagnostic approach, this is the role for you!

MINUMUM REQUIREMENTS

Proficiency in data science programming languages including Python and SQL.Good experience in machine learning concepts and libraries, and front-end development. Familiarity with data visualization tools will be an advantage.

Strong analytical and problem-solving abilities, with the capability to identify and address complex business challenges through technology solutions.

Good communication skills to present technical findings to non-technical stakeholders.

Good interpersonal skills to effectively collaborate with IT and business stakeholders.

Ability to adapt to a fast-paced and dynamic environment, managing changing priorities and expectations.

Knowledge / experience in the Shipping / logistics industry will be advantageous

Tell employers what skills you have

Machine Learning

Data Analysis

Solutioning

Industrialization

Technology Solutions

Network Optimization

Adaptability

Good Communication Skills

Python

Anomaly Detection

User Acceptance Testing

Data Science

Data Analytics

Shipping

Data Visualization

Business Requirements