SalaryPeak

Data Scientist (Ref 26315)

JOBLINE RESOURCES PTE. LTD.
Singapore 8+ years Posted May 14, 2026

Salary Range

SGD 108,000 - SGD 132,000 /year

SGD 9,000 - SGD 11,000/month

Skills Required

MESExcellent Communication SkillsMachine LearningLiaising with cross functional teamsTeam CollaborationBusiness IntelligenceAWSProblem SolvingData GovernanceComputer ScienceStakeholder EngagementData EngineeringAnalyticsStatisticsData ScienceProject Time ManagementData AnalyticsAble To Work Independentlyaerospace systems

Job Description

Responsibilities

• Lead and collaborate with a team of data scientists and analysts, fostering a culture of innovation and continuous improvement.

• Design and implement robust data models and algorithms using advanced statistical techniques.

• Collaborate with cross-functional teams to identify key business challenges and provide data-driven recommendations.

• Develop dashboards and visualisations to communicate findings effectively to stakeholders at all levels.

• Stay abreast of industry trends and advancements in data science to enhance technical knowledge and apply the latest methodologies.

• Contribute to the development of best practices in data governance and data quality management.

Requirements

• Possess a strong background in a quantitative field such as Data Science, Statistics, Computer Science, or a related discipline, complemented by extensive experience in a data analytics or data science role, preferably within an aerospace or engineering context. 

• A master’s degree or PhD in Data Science, Statistics, Machine Learning, or related field.

• Proficient in programming languages such as Python, or SQL, along with experience in machine learning libraries and frameworks.

• Demonstrated ability to manage multiple projects simultaneously and deliver results in a fast-paced environment.

• Strong problem-solving skills and a passion for unraveling complex datasets.

• Excellent communication and interpersonal abilities, with the proficiency to explain complex concepts to non-technical audiences

• Familiarity with aerospace systems (e.g., PLM, MES, MRO platforms) and cloud platforms (e.g., AWS) are advantageous

Licence no :12C6060