Red Hat Hiring Data Scientist 3-5 Years Experience


Company Description
At Red Hat, we connect an innovative community of customers, partners, and contributors to deliver an open source stack of trusted, high-performing solutions. We offer cloud, Linux, middleware, storage, and virtualization technologies, together with award-winning global customer support, consulting, and implementation services. Red Hat is a rapidly growing company supporting more than 90% of Fortune 500 companies.

Job summary
The Red Hat Engineering team is looking for a Data Scientist to join us in Bangalore, India. In this role, you will design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for customer services and solutions enhancement. You’ll interact with product and service teams to identify questions and issues for data analysis and experiments. You’ll develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large data sets from multiple disparate sources. As a Data Scientist, you will identify meaningful insights from large data and metadata sources and communicate them to product, service, and business managers.

Primary job responsibilities
Develop machine learning (ML), data mining, and statistical techniques and algorithms to create new scalable solutions for business problems by analysis of large amounts of data
Develop analytical tools and data offerings
Create tools that you yourself would like to and could use
Participate in the community blog, participate in forums, and speak at user groups and conferences
Required skills
3-5 years of experience in ML, data mining, statistical techniques, and algorithms to create new, scalable solutions for business problems by analysis of large amounts of data
Experience developing in Python
Experience working with a distributed team and interacting between different teams
Solid written and verbal communication skills
Familiarity with open source development, projects, and process is a plus


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