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:

• 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 and Data Pipelining to build scalable models


• Ability to effectively communicate, both verbally and in writing to scientists and non-scientists


• Interact with business stakeholders, product managers, software engineers, data engineers, and data analysts to create data science products


• Evaluate data science models in terms of outcomes and computational performance

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

• Entry level position requiring basic knowledge of programming languages and databases


• Knowledge of 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


• Scientific or Math or computer science background, ability to apply statistics to interpret business results


• Programming skills to retrieve, analyze and process data, and build machine learning models from the ground up (Python/R)


• Master OR Bachelor degree        

Desirable Requirements
• First-hand experience gathered during an internship, student job or related professional role