APM Terminals is one of the world’s leading globalport/terminal owners and operators with a global terminal network of more than 63 ports and terminals in 40 countries with 7 new terminal development projects and 7 expansion programs now underway. APM Terminals also manages 170 Inland Services operations in 48 countries. The company employs 23,000 professionals across a total of 68 countries spanning five continents. APM Terminals serves every major trade lane with a truly global presence, providing our customers with the most advanced terminal technology, equipment and operations in the industry.
APM Terminals Medport Tangier is a greenfield project under construction, it will be the third container terminal of the Tanger Med complex APM Terminals Tangier handled 1.7 million TEUs in 2015. APM Terminals Medport Tangier will be a highly-automated facility with up to 2,000 meters of quay.
Our Tangier team is currently bringing people, expertise and technology together to usher in a new era in African ports for today’s business world through world-class operations in the safest, most environmentally friendly manner.
We offer :
An opportunity to be part of a high performance diverse team that ensures APM Terminals to be safe, the most efficient and profitable terminals in the region. You will be contributing to our ambition of transforming and maintaining a leading position within the port industry.
Working closely together with senior leaders and deliver value adding Financial support.
You will be part of a strong and engaged project team in a global, fast-paced business environment offering unique personal growth opportunities.
Safety for Life !
Poste :
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 planning and execution so as to achieve the targeted productivity and costs targets during the ramp period of TM2 and beyond
Principal Accountabilities :
Establish a clear map of all data generated by the equipment and systems available at TM2 and establish requirements for an integrated data warehouse and associated business intelligence tool
Identify valuable insights from mathematical or statistical treatment of available data prior go live (various emulation, existing sister terminal TC1, PLC data during training/testing) and post go live as designed in the data warehouse
In collaboration with APMT Global Technical Function, Local IT and Maersk Analytics, deploy available predictive models and tools in TM2 for both Operations and Technical functions
Based on the predictive tools, establish a robust predictive maintenance process in conjunction with the technical function and actively participate in the set-up of an integrated operations centre where operational outcomes are predicted and corrective measures in place beforehand
Apply deep learning, machine learning and text analytics approaches to solve critical business problems
Deliver visualization models
Main primary areas of improvement expected from this position (in collaboration with the relevant function) :
Motion and flow analytics: traffic analysis SC to ARMG and STS; increasing equipment efficiency, increase safety of driving patterns, optimize speed and energy consumption
Optimization of automated and manual cycles
Predictive analysis; forecasted process performance leading to optimized asset deployment
Pilot to pilot timing: predicting asset and gang deployment
Predictive maintenance: prevent asset breakdowns
Profil recherché :
More than 2 years of experience in industry building data science models and products, ideally for an industrial company. Previous experience in manufacturing or airport industry is an advantage
Master of Science degree in statistics, mathematics, computer science, physics or related field.
Skills :
A background or profile in quantitative methods, predictive modelling, statistics or similar.
Excellent track record of delivery using languages like Python, R, Ruby, Java and technologies like Hadoop, Git / Stash, JIRA / Rally.
Familiarity with Agile / Scrum practices; a good team player, balanced with the autonomy and motivation to produce individually.
Willingness to build on and experiment with cloud data science platforms, in addition to our own services.
Ability to communicate data science results and analytics value to business stakeholders.
Lean Six Sigma certification is a plus.
Fluent proficiency in both written and oral English
Please send your resume in English.
Adresse de notre siège :
Zone Franche Ksar Al Majaz, Oued R'Mel, Commune Anjra
Traits de personnalité souhaités :
Rationalisme
Besoin d'autonomie
Ambition
Recherche de nouveauté
Implication au travail
4K
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