IBM Recruitment Drive 2020

IBM Recruitment:-

IBM hiring for the position of Intern – Data Scientist in multiple cities.The complete details about IBM Recruitment 2020 as follows.

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Company Name:-  IBM

Company Website:-  www.ibm.com

Job Position:- Intern – Data Scientist

Job Location :- Across India

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Required Technical and Professional Expertise:-

• Must have basic knowledge of statistical concepts such as probability theory and hypothesis testing.
• Must have experience coding in R and/or Python.

Preferred Technical and Professional Expertise:-

• Advanced knowledge of statistical concepts such as regression, time series, mixed model, Bayesian methods, clustering, etc., to analyse data and provide insights.
• Experience collaborating on coding projects, e.g. sharing code and resolving issues through GitHub.

Job Description :-

Data Scientists are in demand across IBM’s growth areas. If hired, you will be matched to a team based on business demand, location and fit. Join the forward-thinking teams at IBM solving some of the world’s most complex problems – there is no better place to grow your career!

• You can debug, troubleshoot, design and implement solutions to complex technical issues.
• You have a knack for analytics and solving problems using data.
• You have a strong understanding of programming languages extensively used in Data Science applications (e.g., R, Python, Scala, Java, etc.)

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Responsibilities :-

• Implement and validate predictive models; create and maintain statistical models with a focus on big data.
• Communicate with internal and external clients to understand business needs and provide analytical solutions.
• Use statistical concepts such as regression, time series, mixed model, Bayesian methods, clustering, etc. to analyze data and provide insights.
• Work in an Agile, collaborative environment, partnering with other scientists, engineers, and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.
• Data analytics including identifying, retrieving, manipulating, relating and exploiting multiple structured and unstructured data sets from various sources including building or generating new data sets.
• Gain exposure to writing relational table queries
• Identify, retrieve, manipulate, relate and exploit multiple structured and unstructured data sets from various sources including building or generating new data sets as appropriate.
• Create and present materials on data projects, data science architecture and analytics strategies.

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