Data Scientist identifies trends, patterns, and anomalies found in big data sets by performing extensive data analysis to develop insights. Performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Being a Data Scientist interprets results from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. Collaborates with teams to understand each data analysis projects' underlying purpose, focus, and objectives. Additionally, Data Scientist designs, develops, and implements the most valuable data-driven solutions for the organization. May require a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to a manager. The Data Scientist work is closely managed. Works on projects/matters of limited complexity in a support role. To be a Data Scientist typically requires 0-2 years of related experience. (Copyright 2024 Salary.com)
APM Terminals operates one of the world’s most comprehensive port and integrated inland service networks. We’re uniquely positioned to help both shipping line and landside customers grow their business and achieve better supply chain efficiency, flexibility and dependability.
We offer
APM Terminals offers tremendous growth, career and leadership opportunities for those with the ambition, drive and dedication to become one of the best. If you see yourself being part of a team that helps the global economy grow through our worldwide network of customers and terminals, then we want to hear from you!
Key responsibilities
We are looking for
PURPOSE:
This position develop and apply cutting-edge knowledge of date science related methods and tools to provide predictive analytics of AS IS processes and consequently support the prioritization of improvement areas in Operations and Technical with the purpose of achieving the targeted productivity and costs targets during the Project M ramp and beyond.
Our ideal candidate will possess the following experience and education:
Education – M.Sc. degree in statistics, mathematics, computer science, physics or related field
Experience – More than 5 years of experience in industry building data science models and solutions, ideally for an industrial company. Previous experience in manufacturing or oil & gas industry is an advantage
Accountability - Ability to set operational plans with short-term impact by maintaining standards that lead to high performance and execution.
Agility - Ability to modify important changes rapidly.
Collaboration - Ability to exchange and adapt skills when working together across boundaries.
Functional Excellence -a background or profile in quantitative methods, predictive modelling, statistics or similar.
Established work authorization.
Is a career with APM Terminals right for you? Learn more or watch the APM Terminals career videos at: www.apmterminals.com/careers
APM Terminals is an Equal Opportunity Employer (M/F/V/D).
At APM Terminals, we are a team of over 20,000 employees spread across more than 60 countries united by a passion to provide our expertise in port operations and container management services. By providing the expertise and port infrastructure essential to world trade, we actively support the advancement of the societies around us, enabling local economies to unlock their potential and build an even stronger global community. Working with a team of talented professionals you will get a chance to experience different cultures and make friends all over the world. You’ll find a culturally diverse, stimulating environment at any of our offices, terminals or depots. When you join APM Terminals, the world is your workplace. APM Terminals is an independent business unit within the Danish Maersk Group – a Global Fortune 500 company with about 89,000 employees and offices in 130 countries with global growth opportunities in a range of fields from shipping and energy to our offshore and manufacturing industries - Join us to achieve even your most ambitious career goals!
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