Data Scientist - Bengaluru, India - Hewlett Packard Enterprise

Hewlett Packard Enterprise
Hewlett Packard Enterprise
Verified Company
Bengaluru, India

1 month ago

Deepika Kaur

Posted by:

Deepika Kaur

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Description
Data Scientist (MLOps )

This role has been designated as 'Edge', which means you will primarily work outside of an HPE office.

**_

Job Family Definition:
_**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).


_ Management Level Definition:
_

_ Responsibilities:
_

  • Guides and coordinates the formulation and definition of 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 client's analytic model. Selects the relevant analytic modeling methodologies for the use case, available structured and unstructured data, cost and timing constraints to solve the complex business issues and deliver clear business focused insights.
  • Embeds analytic models into an enhanced large scale business process and operational systems by collaborating with Application Developers.
  • Using advanced visualization techniques, condenses complex ideas into elegant and simple visual models.
  • Communicates the innovative analytic solution to stakeholders providing industry insight and improvements to the operational systems.

_ Education and Experience Required:
_

  • PhD degree in Statistics, Operations Research, Computer Science or equivalent preferred and 3+ years of relevant experience. Or Master ́s Degree in these areas and at least 56 years of relevant experience.

_ Knowledge and Skills:
_

  • Indepth 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.
  • In depth understanding of analytics software (eg. R, SAS, SPSS, Python). Advanced understanding of analytics deployment architectures.
  • Indepth machine learning, data integration and mathematical modeling skills and ETL tools (Informatica, Ab Initio, Talend).
  • Indepth communication and presentation skills.
  • Strong interpersonal skills and effectiveness in working across geographical boundaries.
  • Advanced knowledge of programming languages such as Python, SQL, R, SAS, Java, Unix Shell scripting. Advanced knowledge of Hadoop framework desired.
  • Indepth knowledge of data visualization techniques and software tools (eg. Spotfire, SAS, R, Qlikview, Tableau, HTML5, D3).

Job:

Engineering


Job Level:

Expert


Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.


HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

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