The technology and business landscape is constantly changing, but the one thing that never changes is the need for great talent to drive innovation. The goal of the Extreme Blue Technical Leadership Program is to solve real and challenging business problems using cutting edge technology for clients, and in Extreme Blue`s 21 years, this has resulted in over 600 patent disclosures being filed by the members of this program.
Your Role and Responsibilities
As a Data Scientist / Machine Learning Engineer Intern in Extreme Blue, you’ll be tackling cutting edge AI and solving predictive problems on an accelerated timeline. The best candidates will have experience working with both supervised and unsupervised methods, cleaning and working with imperfect data, and integrating your models into full systems. You’ll be working with a cross-functional team to build a whole application, and expected to work within your team to contribute to the whole project, even outside your domain. If you are looking for a challenge and to grow your skillsets into other domains, both technical and business, we want you!
Required Technical and Professional Expertise
Preferred Technical and Professional Expertise
Basic knowledge of statistical programming in a language such as Python or R
Proven experience working with statistical models
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Familiarity with common tools like numpy, pandas, sci-kit learn, tensorflow, keras, etc
Familiarity with feature engineering
Familiarity with data cleaning
Familiarity with unsupervised models
IBM looks for a Extreme Blue Technical Leadership Program: Data Science Intern 2022 in San Jose, CA 95101 location.
How much Data Science Internship professional earns at IBM?
The proposed salary for Data Science Internship position at IBM is Not disclosed.
Extreme Blue Technical Leadership Program: Data Science Intern 2022 responsibilities at IBM
According to the common industry standard, Data Science Internship specialist is in charge for the following activities.
Required Data Science Internship qualifications at IBM
To be disscussed with candidate