• Data Science Specialist Jobs in Bangalore,India - 25750075


Job Description:

At Hewlett Packard Enterprise, we bring together the brightest minds to create breakthrough technology solutions that advance the way people live and work What sets us apart Our people and our relentless dedication to helping our customers make their mark on the world

We are a team of doers, dreamers and visionaries; inspired by our purpose and driven by our strategy We live by our three values partner, innovate and act

Our legacy inspires us as we forge ahead, always pushing to discover whats next Every day is a new opportunity to advance and grow ourselves, our company and the industry Some people call it an obsession, we call it a way of life

Primary Location Bangalore, Karnataka

Job Category Engineering

Schedule Full time

Shift No shift premium (India)

Designs, develops and applies programs, methodologies and systems based on advanced analytic models (eg advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making
Uses visualization techniques to translate analytic insights into understandable business stories (eg descriptive, inferential and predictive insights)
Embeds analytics into clients business processes and applications Combines business acumen and scientific methods to solve business problems


Formulates and defines analytics solution objectives and technical requirements based on user needs, an understanding of business processes, industry requirements, and advanced analytic models (statistical, operations research, computing, process)

Conceptualizes, builds, develops and enhances a clients analytic model Selects the relevant analytic modeling methodology for the use case, available structured and unstructured data, cost and timing constraints to solve the business issue and deliver clear business focused insights

Embeds analytic models in an enhanced business process of operational system by collaborating with Application Developers Responsible for measuring business performance based on the model

As a fully functioning analytics team member, applies best practices to analytics solutions and contributes to the development of improved best practices Leads the model enhancements

Summarizes complex ideas by developing visual models to display insights to simplify user experience

Communicate the analytics solution to the appropriate stakeholders

Education and Experience Required

PhD degree in Statistics, Operations Research, Computer Science or equivalent preferred Or Masters Degree in these areas and at least 2-3 years of relevant experience

Knowledge and Skills

Advanced knowledge of advanced data science methodologies including but not limited to classical regression, neural nets, CHAID, CART, association rules, sequence analysis, cluster analysis, and text mining

Ability to translate business requirements into mathematical models and data science objectives to achieve measurable business outcomes

Advanced understanding of analytics software (eg R, SAS, SPSS, Python) Advanced understanding of analytics deployment architectures

Advanced machine learning, data integration, and mathematical modeling skills and ETL tools (eg Informatica, Ab Initio, Talend)

Advanced communication and presentation skills

Strong interpersonal skills and effectiveness in working across geographical boundaries

Working knowledge of programming languages such as Python, SQL, R, SAS, Java, Unix Shell scripting Working knowledge of Hadoop framework desired

Advanced knowledge of data visualization techniques and software tools (eg Spotfire, SAS, R, Qlikview, Tableau, HTML5, D3)


HPE is an equal opportunity employer/Female/Minority/Individual with Disabilities/Protected Veteran Status

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Software Services, Internet/Dot com/ISP
Functional Area : IT Software : Software Products & Services
Role : Business/Systems Analysis
Salary : As per Industry Standards
Deadline : 27th Jul 2020

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