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Data Scientist (Data Science Track)

SpringCube

Full time - Senior Associate/ Asst Manager

Aerospace, Aviation & Airlines

Singapore ( Onsite )

Published 2 weeks ago

Salary: SGD5,000 - SGD10,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position above to find your next career move.

Data Scientist (Data Science Track)

Company Overview
This organization is committed to providing high-quality services, maximizing value for stakeholders, and fostering a strong global presence. It operates one of the youngest fleets in the industry, connecting destinations across five continents while delivering exceptional care and service.

Job Description

  • Contribute as a member of an in-house AI and data science team focused on AI advancements, including generative AI, autonomous agents, NLP, computer vision, and recommender systems.
  • Collaborate with business stakeholders to develop impactful AI and data science features and services, propose scalable ML/DL solutions, and deploy them as API microservices for effective decision-making.
  • Supervise technical deliverables from external technology partners, provide datasets, and support validation and deployment of partner-supplied prediction models.
  • Partner with application development teams to operationalize and integrate AI/ML capabilities through API microservices.
  • Assignments may include placement with subsidiaries within the organization.

Requirements

  • Bachelor’s degree in Computer Science, Mathematics, Statistics, Physics, or a related field (Master’s or PhD preferred).
  • Proficiency in Python and familiarity with algorithm design, data structures, and SQL. Knowledge of programming languages such as Scala, JavaScript/TypeScript, Java, or C# is a plus.
  • Experience with big-data processing systems like Spark and Kafka.
  • Hands-on experience as a data scientist or AI engineer, with strong knowledge of machine learning and deep learning concepts. Familiarity with “An Introduction to Statistical Learning – with Applications in Python” (2023) is advantageous.
  • Exposure to modern tools like LLM frameworks, GPU-accelerated deep learning frameworks, and Bayesian statistics/inference is a plus.
  • Experience working in public cloud environments such as AWS, Azure, or GCP.
  • Strong communication and interpersonal skills to interact with technical and non-technical stakeholders.
  • Familiarity with Agile/Scrum/Kanban methodologies is an advantage.

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
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  4. No Liability: SpringCube is not liable for inaccuracies.