Dell Uk Careers – Applied Scientist In Ireland, England, United Kingdom

Overview

Position Title:  Applied Scientist

Company: Dell Technologies

Location:  Ireland, England, United Kingdom

Job Description:

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. Join us to do the best work of your career and make a profound social impact as a Senior Advisor Data Scientist on our Global Process Engineering and Data Sciences team in Austin (role is flexible on location in USA).

Responsibilities:

• Participate in brainstorming sessions & guide Jr. data scientists
• Conduct experimentation to improve model performance
• Design & build scalable, efficient & automated processes for large-scale data analysis, machine-learning model development, model validation and servings
• Works independently with internal and external teams
• Ability to effectively communicate, both verbally and in writing to scientists and non-scientists

Requirements:

• Familiarity with Agile practices
• Knowledge on concepts – Hypothesis Testing, Experimental Design & AB Testing
• Solid programming skills to retrieve, analyze and process data, and build machine learning models from the ground up
• Write production level code in python, Git experience
• 4+ years dedicated experience as Data Scientist with hands on experience in NLP, Deep Learning
• Strong database knowledge and expertise in SQL, Python
• Exposure to all stages in a data science project life cycle including designed & deployed Machine Learning models in production and Machine Learning techniques like
• Ranking, Classification, Clustering, Regression and Topic Modeling
• Experience working in an Agile environment (Exposure to Agile concepts)
• Deep knowledge of machine learning, information retrieval, data mining, statistics, NLP or related field