This position will be based in Paya Lebar Singapore. This new role requires the incumbent to turn data into actionable insights using tools and models from statistics, AI and Machine Learning to enable better decision making.
There will be a need to interpret data, analyze results using statistical techniques and provide ongoing reports. This includes identifying, analyzing, and interpreting trends or patterns in complex data sets
A collaborative approach is needed to solve business problems using data and analytics. The role provides an interesting position to get access to various customer behaviors in the SEA region and their complex cargo flows.
We Offer At Maersk we value the diversity of our talent and will always strive to recruit the best person for the job \xe2\x80\x93 we value diversity in all its forms, including but not limited to: gender, age, nationality, race, sexual orientation, disability or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high performing teams.
Key Responsibilities The role will be an exciting one , turning data into actionable insights using tools and models from statistics, AI and Machine Learning to enable better decision making. Incumbent will collaborate with stakeholders to translate a business problem to a mathematical problem that can be solved using data and analytics. They gather, analyse, combine and aggregate the data sources required to solve the problem, then develop the appropriate solution and communicate its possibilities and limitations. They are responsible for the quality of the solution, for example prediction accuracy.
Understands the different aspects of the end-to-end model life cycle (problem formulation, exploration, development, testing, deployment, and monitoring).
Has a solid data science skillset and the experience needed to drive the implementation of a solution at any stage of the product life cycle.
We are looking for
Experience working with data analytics (or completed relevant advanced modules if graduating)
Technical expertise regarding data models, data mining, database design development
Knowledge of statistics and some experience using statistical packages for analysing data sets
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Adept at queries, report writing and presenting findings
Self-motivated, result-oriented individual with a willingness to learn and adapt
Good communication and interpersonal skills
Strong organizational and time management skills: multi-tasking, prioritizing and planning work activities efficiently to meet deadlines
Excellent written and verbal communication skills in English
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