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Data Science Analyst

IOTALENTS PTE. LTD.

Singapore

On-site

SGD 60,000 - 80,000

Full time

24 days ago

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Job summary

A leading technology company located in Singapore is seeking a motivated Data Scientist to analyze operational and market data and propose models to solve real-time challenges in the shipping industry. The role involves gathering requirements, developing prototypes, and collaborating with cross-functional teams to implement effective solutions. Ideal candidates will have a Bachelor's degree and at least 2 years of relevant experience in data analysis and strong programming skills in Python and SQL.

Qualifications

  • At least 2 years of experience in data analysis roles, preferably in a large organization.
  • Proficiency in programming languages, especially Python and SQL.
  • Knowledge/experience in the Shipping/logistics industry preferred.

Responsibilities

  • Gather business requirements from business users.
  • Develop front-end mock-ups and document functional requirements.
  • Collect, cleanse, process and analyze data.
  • Collaborate with Data Scientist and Solution Delivery teams.
  • Perform testing and facilitate user acceptance testing.

Skills

Data analysis
Python
SQL
Machine learning
Data visualization tools
Analytical skills
Communication skills
Interpersonal skills

Education

Bachelor's degree in Data Science, Computer Science or related field
Job description

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
  • Collaborate with Data Scientist and Solution Delivery teams to conceptualize end to end IT solution, and ensure POC/MVP projects are executed successfully
  • Perform testing and facilitate user acceptance testing with business
  • Proactive regular communications and status update to project leads and business stakeholders

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
  • Bachelor's degree in Data Science, Computer Science or a related field.
  • At least 2 years of experience in data analysis roles, preferably in a large organization, where you have successfully bridged the gap between IT and business teams.
  • 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
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