Job Location: Bangalore
This role has been designated as ‘Edge’, which means you will primarily work outside of an HPE office.
Job Description:
Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. 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 client’s business processes and applications. Combines business acumen and scientific methods to solve business problems.
Responsibilities:
- Defines and develops the value proposition to lead the formulation and definition of analytics solution objectives and technical requirements based on user needs, an understanding of business value industry requirements and advanced analytic models (statistical, operations research, computing, process).
- Conceptualizes, builds, develops, and enhances a client’s analytic model. Determines the right modeling methodology to the use case, available structured and unstructured data, cost and timing constraints to solve the large and complex business issues and delivers compelling and clear business focused insights.
- Embeds analytic models into enhanced large scale business processes and operational systems by collaborating with Application Developers.
- As a recognized authority, applies analytic methods and adds to problem domains.
- Using unique visualization techniques, condenses large volumes of complex ideas into elegant and simple visual models.
- Influences a client’s strategic decisions by using deep industry expertise and deploying innovative analytics solutions in the operational systems.
Education and Experience Required:
- PhD degree in Statistics, Operations Research, Computer Science or equivalent and 5+ years of relevant experience. Or Master´s Degree in these areas and at least 8 years of relevant experience.
Knowledge and Skills:
- Extensive knowledge of 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.
- Extensive understanding of analytics software (eg. R, SAS, SPSS, Python). Advanced understanding of analytics deployment architectures.
- Extensive machine learning, data integration and mathematical modeling skills and ETL tools (Informatica, AbInitio, Talend).
- Advanced communication and presentation skills.
- Excellent interpersonal skills and effectiveness in working across geographical boundaries.
- In-depth knowledge of programming languages such as Python, SQL, R, SAS, Java, Unix Shell scripting. In-depth knowledge of Hadoop framework desired.
- In-depth knowledge of data visualization techniques and software tools (eg. Spotfire, SAS, R, Qlikview, Tableau, HTML5, D3).
Bring your full power and let’s make our mark together at HPE.
What we can offer you:
Extensive benefits, a competitive salary and participation in the shared values and purpose that make Hewlett Packard Enterprise one of the world´s most attractive employers! At HPE, our goal is to provide equal opportunities, flexible work-life balance, and constantly evolving career growth.
If you are looking for challenges in an exciting, supportive and international work environment, then we definitely want to hear from you. Continue the conversation by clicking apply now below, or directly via our Careers Portal at www.hpe.com/careers.
Join us and make your mark!
Find out more about us and follow us on:
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HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. (EEO Disclaimer & Statement).
#DTDataScience
Job:
Engineering
Job Level:
Master
Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to the use of arrest and conviction records, including the San Francisco Fair Chance Ordinance and similar laws and will consider for employment qualified applicants with criminal histories.
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