Senior Manager/Manager, Senior Data Scientist

About SATS – Feed And Connect Communities

SATS is a global leader in gateway services and Asia's pre-eminent provider of food solutions. Using innovative food technologies and resilient supply chains, we create tasty, quality food in sustainable ways for airlines, foodservice chains, retailers, and institutions. With heartfelt service and advanced technology, we connect people, businesses, and communities seamlessly through our comprehensive gateway services for customers such as airlines, cruise lines, freight forwarders, postal services and eCommerce companies.

Fulfilling our purpose to feed and connect communities, SATS delights customers in over 210 locations and 27 countries across the Asia Pacific, UK, Europe, the Middle East and the Americas. SATS has been listed on the Singapore Exchange since May 2000. For more information, please visit www.sats.com.sg.

Key Responsibilities

You will be part of SATS Data Science team responsible for leading the team's operations in providing Analytics, Business Intelligence and AI/ML solutions to SATS business units. You will work with data scientists, AI/ML engineers, data engineers and other key stakeholders. This position is based in Singapore.

• ML/AI Subject Matter Expert for teams of data scientists, data engineers and other key stakeholders in a fast-paced cross-functional and diverse environment
• Spearhead the development and execution of an AI/data governance framework, with a focus on ensuring that AI technologies are well researched and developed.
• Strategize the design and deployment of ML models using high-end tools and technologies.
• Manage cross-functional teams to develop, deploy and maintain CI/CD pipelines and ML systems to standardize and streamline the continuous delivery of high-performing models in production.
• Stay current on new products and relevant industry trends in the field of ML
• Engage senior managements with insights and outcomes to improve and enhance business processes and performances
  
  

Key Requirements

Technical Skills:

• Degree holder in Information Systems, Data Analytics, Data Science, Information Technology or Computer Science with at least 8 years in AI/ML and data analytics
• Proficient in Python, R, and other common ML languages and libraries such as Scikit-learn, TensorFlow, Keras and PyTorch
• Proficient in the design and implementation data science and machine learning on cloud-based platforms, such as Microsoft Azure, Amazon Web Services and Google Cloud Platform
• Experience in working with cross-functional teams of data engineers, data analysts and data scientists using data cloud platform, such as Data Lakehouse with Databricks, Snowflake
  
  

Soft Skills

• Experience in engaging with senior management in enterprise data related strategies and policies.
• Highly motivated, structured and methodical with high degree of initiative
• Strong problem solving, quantitative and analytical abilities.
• Excellent written and oral communication skills
• Able to work independently or cross functionally.