Executive/Higher Executive - Analytics and Artificial Intelligence (STF-003)

ST Logistics; Singapore; On-site; SGD 100,000 - 125,000; Full time

Job summary

A logistics solutions provider in Singapore is in search of an Executive/Higher Executive for Analytics and Artificial Intelligence. The ideal candidate will have strong programming skills in Python, R, and SQL, along with proficiency in machine learning techniques and data visualization tools like Tableau. This role includes responsibilities for data extraction, analysis, and stakeholder presentations to drive data-driven decisions. Passion for problem-solving and adapting to a dynamic environment is a must.

Qualifications

• 1-2 years of experience in analytics, data science, or AI.
• Proficiency in machine learning techniques such as supervised/unsupervised learning and deep learning.
• Ability to work in a fast-paced, dynamic environment.

Responsibilities

• Conduct analysis to determine solutions for business problems.
• Manage data extraction and integration from different sources.
• Create and present reports based on model results.
• Develop models and algorithms suitable for various use cases.

Skills

Strong programming skills in Python

Strong programming skills in R

Strong programming skills in SQL

Proficiency in machine learning techniques

Proficiency in data visualization tools

Excellent communication skills

Collaboration skills

Stakeholder management skills

Knowledge of Lean Six Sigma methodologies

Ability to adapt to changing priorities

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Engineering

Bachelor’s degree in Statistics

Bachelor’s degree in Operations Research

Bachelor’s degree in a related quantitative field

Tools

Tableau

Power BI

Job description

Job Function

Strategy and Transformation

Job Summary

The Executive/Higher Executive - Analytics and Artificial Intelligence ( Strategy & Transformation) is someone hungry for growth. Someone who with the gumption to create a better future with all things data. From gathering the data to doing up visualisations that aim to provide value to the business.

He/she extracts and integrates data from various sources, and creates advanced models and algorithms suitable for the business use case. He develops compelling and logically structured communication materials to facilitate stakeholder buy-in.

He/she works in a team setting and is proficient in statistics, scripting and programming languages required by the organisation. He is also familiar with the relevant software platforms on which the solution is deployed on.

He/she has strong analytical and critical thinking skills to identify and solve problems. He/she is passionate about analysing and resolving complex business problems, displaying intellectual curiosity towards using data and AI to address business needs and challenges. He/she is a data storyteller, and is able to influence key stakeholders and spearhead a data driven approach to resolve business issues.

Job Responsibilities/Key Tasks(External)

Operations and Data Analytics

• Conduct analysis to determine best path for solving business problems
• Conduct extraction and integration of data including features from different data sources
• Account for data ethics and policies in model selection and evaluation process
• Manage the day-to-day operations of the supply chain control tower

Build and assess models

• Develop multiple models and algorithms suitable for the use case
• Evaluate autonomous monitoring solutions to scale human oversight

Present data driven business value of data science/AI models

• Create reports and deliverables based on insights derived from the model results
• Develop compelling, logically structured presentations including story-telling of research and/or analytics findings to secure stakeholder commitment
• Contribute to the creation of leading-edge resources, including playbooks, guides, blog posts, videos, etc.

Others

• Undertake any assigned projects / duties directed by Management (If any)

Job Requirements

• Strong programming skills in Python, R, SQL.
• Proficiency in machine learning techniques such as supervised/unsupervised learning and deep learning
• Proficiency in data visualization tools like Tableau or Power BI
• Excellent communication, collaboration, and stakeholder management skills
• Knowledge of Lean Six Sigma methodologies
• Ability to work in a fast-paced, dynamic environment and adapt to changing priorities

Professional Qualifications & Relevant Experience

• Bachelor’s degree in Computer Science, Engineering, Statistics, Operations Research, or a related quantitative field.
• 1-2 years of experience in analytics, data science, or AI.