Junior Data Scientist

7 months ago

Mumbai, India Aramex Full time

Aramex isn't just a global leader in logistics and transportation; we're a technology-driven powerhouse, innovating at the intersection of AI and logistics. Since 1982, we've built a legacy that spans 567 cities across 66 countries. Today, we stand on the Dubai Financial Market with our UAE headquarters, we're embarking on our most exciting journey yet.

The digital era beckons, and Aramex is rising to the challenge.

We're investing heavily in domains such as Generative AI, pushing the boundaries of what's possible in our industry. Our teams are working with state-of-the-art LLMs such as OpenAI GPT-4 and Google Palm harnessing their potential to transform the way we operate and serve.

By joining Aramex, you'll be on the frontlines of this transformation, diving into projects like:

- Designing intelligent WhatsApp chatbots through Generative AI.
- Using Computer Vision to streamline deliveries and inventory management.
- Building AI chatbots and agents that will fundamentally transform the information flow and efficiency within the organization.
- Employing deep learning for address geocoding and NLP for intuitive address completion.
- Pioneering profiling and predictive analytics to enhance our client experiences.

At Aramex, we're not just envisioning the future; we're building it. Be a part of our mission to merge the worlds of logistics and cutting-edge AI technology.

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

The role will cover the following areas of responsibility:

- Work under the guidance of senior Data Scientists to execute strategic keystone projects.
- Gain a thorough understanding and know-how of the on premise and cloud-based data warehouse and data lake.
- Continuously keeping updated with the latest AI and ML technologies.
- Extraction of relevant data from data warehouses such as AWS Redshift to be used for Data Science projects.
- Data cleaning and data imputation of unclean data.
- Performing a thorough exploratory data analysis and presenting results to relevant stakeholders for insight generation.
- Feature engineering relevant to the purpose of the Data Science problem.
- Create and evaluate data models using statistical, algorithmic, data mining, deep learning, visualization, and data matching techniques for data discovery and intelligent automation.
- Present and summarize modeling results and recommendations to business users and stakeholders in an understandable and relevant way, verbally and visually.
- Document and publish analyses, instructions, and code so others can replicate and learn from previous work.
- Lead or participate in development, testing and deployment of production-ready code.
- Prepare and present progress reports and results to stakeholders.

To be successful in this role, you will need to be at least:

- Pursuing Bachelor’s in computer science, Operational Research, Statistics, Applied Mathematics, Engineering or Natural Sciences or 1+ years of experience as a Data Scientist.
- Ability to write clean, documented production ready Python code.
- Most importantly an Inquisitive mind and the ability to independently ask questions, find answers, learn, and move things forward.
- Understanding of data analysis using the Pandas library.
- Strong knowledge of, and the ability to explain statistical and mathematical concepts and techniques for quantitative analysis.
- Supervised Machine Learning Algorithms like Logistic Regression, Bayesian Approach, Decision Trees, Support Vector Machines, Ensemble Methods, Feature selection techniques etc.

A few skills which would be good to have are:

- Demonstrable hands-on skills in using databases, manipulating datasets, data modeling, visualization.
- Understanding of advanced algorithms (i.e. Deep Learning, Transformers) will be good to have.
- Understanding large language models and prompt engineering will be good to have.
- Good understanding of Unsupervised and Semi-supervised Machine Learning Algorithms.
- Knowledge about optimization algorithms like Mathematical Programming (Linear/Non-linear techniques), Convex Optimization, Transportation Problem, Vehicle Routing Problem Simulated Annealing etc would be optional.
- Ability to deploy robust, scalable models with monitoring with clean, maintainable code.

**Company Overview**:
Since our founding in 1982 we have grown to become a world leader in comprehensive transport and delivery solutions for business and consumers. Headquartered in Dubai, at the heart of the world’s most dynamic commercial hub and on the site of historic trade routes linking east and west, commerce and transport are deeply embedded in Aramex’s DNA. We are dedicated to transforming the face of trade, expanding our operations rapidly to better connect businesses and consumers worldwide.

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