Data Science Analyst At Dell Technologies

Job Description:

Join us as an Analyst on our Data Science team in Cairo to do the best work of your career and make a profound social impact.

What you’ll achieve

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.

You will:

Interact with business stakeholders, product managers, software engineers, data engineers, and data analysts to create data science products
Write SQL queries, python scripts to clean, wrangle data from multiple sources making them model ready
Use techniques which includes (but not limited to) Natural Language Processing, Machine Learning, Data Pipelining to build scalable models
Build Data Pipelines & platform to operationalize the models at scale
Become a subject matter expert of the data to create and refine features for modeling
Evaluate data science models in terms of outcomes and computational performance
Able to troubleshoot software issues with 3rd party support
Ability to effectively communicate, both verbally and in writing to scientists and non-scientists
Take the first step towards your dream career

Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

Requires 0-1 years of related experience in a professional role with a bachelor’s degree.
Database knowledge in SQL.
Programming skills to retrieve, analyze and process data, and build machine learning models from the ground up (Python/R)
Data Science Platforms like Domino Data Lab, Apache Airflow, AWS, and Google Cloud (working environment to build and deploy models)
Machine Learning techniques like Ranking, Classification, Clustering, Regression and Topic Modeling
Knowledge of machine learning, information retrieval, data mining, statistics, NLP, or related field
Familiarity with Agile practices


Application closing date: 21 August 2023

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