DP World is a leading enabler of global trade and an integral part of the supply chain. We operate multiple yet related businesses – from marine and inland terminals, maritime services, logistics and ancillary services to technology-driven trade solutions.
We have a portfolio of 78 operating marine and inland terminals supported by over 50 related businesses in over 40 countries across six continents with a significant presence in both high-growth and mature markets. We aim to be essential to the bright future of global trade, ensuring everything we do has a long-lasting positive impact on economies and society.
Our dedicated team of over 45,000 employees from 110 countries cultivates long-standing relationships with governments, shipping lines, importers and exporters, communities, and many other important constituents of the global supply chain, to add value and provide quality services today and tomorrow.
Container handling is the company’s core business and generates more than three quarters of its revenue. In 2018, DP World handled 71 million TEU (twenty-foot equivalent units) across our portfolio. With its committed pipeline of developments and expansions, the current gross capacity of 90 million TEU is expected to rise to more than 100 million TEU by 2020, in line with market demand.
By thinking ahead, foreseeing change and innovating we aim to create the most productive, efficient and safe trade solutions globally.
QUALIFICATIONS, EXPERIENCE AND SKILLS
Ph.d or Certified Data Scientist
Degree in Statistics and Mathematics related technical field.
Subject matter expertise in Logistics and Supplier Chain Domain
5+ years’ experience in performing Predictive, Descriptive, Prescriptive and quantitative analysis.
Experience in at least one scientific computing language such as Python, R, SAS etc.
Designing and building innovative models for predictive learning
Proficient Knowledge in solving complex problems to bring value to the business
Able to Develop Predictive Models to identify potential opportunities and risks using the data sets
Interpret data, analyze results using statistical techniques and provide ongoing trends or patterns and reports.
Identify, analyze, and interpret trends or patterns in complex data sets using Artificial Intelligence and Machine Learning Techniques
Work with business users to ensure collection and logging of data needed to provide insights on user engagement and help drive business decisions.
Able to solve problems that combine your analysis skills with Operations, marketing, finance, customer success, or sales.
Support the teams that empower creative businesses around the world to grow and thrive.
Engineering high performance computing platforms and algorithms for a wide variety of data
Able to efficiently apply machine learning and analytical techniques to create scalable solutions
Experience with distributed system performance analysis and optimization
Familiar with cloud services
Experience in NLP, Deep learning & Machine Learning.
Experience in training machine learning models or developing machine learning infrastructure.
Strong communications skills; you will be required to proactively engage colleagues both inside and outside of your team
Ability to effectively articulate technical challenges and solutions
Deal well with ambiguous/undefined problems; ability to think abstractly
7. COMMUNICATIONS AND WORKING RELATIONSHIPS
• Daily/weekly interaction with the IT Director and Senior Management
• Daily interaction with functional experts from other DP World departments as the team member of specific project teams
• Team members.
The ability to communicate effectively with external parties is essential to successfully perform
this role. Examples of these external parties include:
• Senior Government Officials across geographies
• External vendors
• Potential/live customers
• External advisors/consultants
8. FRAMEWORKS, BOUNDARIES AND DECISION-MAKING AUTHORITY
Operates with substantial day to day autonomy and independence within budgetary and business parameters, Consults with Team lead when required.
The position is also expected to discuss initiatives, strategies, deliver presentations and promote best practice with regard to any relevant issues directly with key customers internally and externally