Brief Description of position:

Since its foundation in 1982, Aramex has grown to become a world leader in comprehensive logistics and transportation solutions recognized for its customized services and innovative products for businesses and consumers. Listed on the Dubai Financial Market (DFM) and headquartered in the UAE, we currently have business operations in over 567 cities across 66 countries worldwide and employ over 17,000 transportation professionals. Our breadth of services, including express courier, freight, logistics, supply chain management, e-Commerce and record management also give us considerable reach. We remain committed to further enhancing our global operations and pursuing more opportunities for business growth.

We live in an era where technology transforms and influences our daily lives more than ever before; therefore, technological innovation is critical to our success. We are strategically leveraging technology in a variety of ways and one of them is digital transformation by leveraging big data and AI.

In this position, your role will be to model complex problems and discover insights, through data mining, statistical analysis, machine learning and data visualization techniques and using state of the art big data & AI technologies. 

This is a broad and challenging role that works on a wide variety of problems. To name a few:

• Geospatial and graph analysis, for optimization of ground and air networks
• Natural language processing of shipment information, customer addresses and customs clearance data
• Geospatial demand prediction and capacity planning
• Multi Vehicle Route Optimization with time and capacity constraints
• Classification, clustering and segmentation of customers based on their needs
• Predicting the time slot when Consignee will be available to receive the shipment

Responsibility

• Develop predictive models that address business needs and measuring performance of these models to ensure business improvements
• Work closely with the business to collect feedback, incorporating in the product, as well as maintaining and improving its functionality over time
• Develop and contribute to solutions to a variety of problems of moderate scope and complexity
• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
• Assist data scientists in multiple projects simultaneously and should be able to work independently

Qualification

• Degree (B. Tech, MS or equivalent) in Computer Science, Mathematics, Operational Research, Statistics or Engineering)
• 0-2 years of work experience in data science and statistical modeling.
• Supervised Machine Learning Algorithms: Logistic Regression, Bayesian Approach, Decision Trees, Support Vector Machines. Neural Networks, Ensemble Methods, Feature selection techniques etc
• A very clear understanding of probability and statistics, analytical approach to problem solving, and capability to think critically on a diverse array of problems
• Expertise in at least one of the following languages: Python, Java, C++ and experience with relational datbase and NoSQL database.
• Experience in processing, manipulating, analyzing and visualizing the data and should be able to identify trends in data

Location

Mumbai

Minimum Qualification:

Graduate