Data Scientist / Software Engineer

at  THE MITRE CORPORATION

MITRE ASIA PACIFIC SINGAPORE (MAPS)

Under the initial sponsorship of Civil Aviation Authority of Singapore (CAAS), The MITRE Corporation, a U.S.-based, globally renowned research and development company, established its premier air traffic management research center in Singapore to support the growth in the Asia Pacific Region. This research center, MITRE Asia Pacific Singapore (MAPS), is in need of an Associate/Intermediate Data Scientist / Software Engineer to be part of a dynamic team of professionals working to improve air traffic operations in Singapore and the Asia Pacific region. The ideal candidate possesses excellent verbal and written technical communication skills, strong analytical abilities, the desire to acquire new skills, and the trait of being self-driven.

MINIMUM REQUIREMENTS:

• Good honours degree in in Computer Science, Mathematics, or other physical science/engineering fields), or equivalent practical experience
• 0-5 years relevant work experience

PREFERRED QUALIFICATIONS:

• Experience with software development using Java, Python, and/or another high-level programming language
• Experience with data science techniques, data analysis, modeling, and visualization using Python, R, and/or Clojure
• Experience with Git version control software
• Familiarity with big data, distributed systems, and/or cloud platforms (Hadoop, AWS, Spark, Kafka, etc.)
• Familiarity with Agile and DevOps principles and practices
• Comfortable learning new languages and ideas
• Creative problem solvers and risk takers
• Ability to collaborate effectively with teammates, technical partners, and stakeholders
  Fresh University graduates are encouraged to apply. Preference will be given to candidates who have knowledge of and/or experience in the field of air traffic operations. There is currently one opening. Interested candidates should inquire within The MITRE Corporation by emailing JOBS@mitreasiapacific.sg by 25 April 2024

• Develop, maintain, and monitor data analytics that produce high quality data
• Analyze and visualize data products to derive insights and assess data quality
• Continuously improve the codebase and our development/deployment processes
• Consult with analysts and data consumers to ensure their needs are met
• Collaborate with peers during sprint planning, technical discussions, and code reviews
• Write clean and testable code that works consistently, both locally and on the compute cluster