Data Scientist

Hewlett Packard Enterprise

Data Scientist at Hewlett Packard Enterprise transforming insights into actionable outcomes. Collaborating on analytics solutions and enhancing analytic models for business performance optimization.

Posted 6/9/2026full-timeBengaluru • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

HadoopJavaPythonShell ScriptingSQLUnix

About the role

Key responsibilities & impact

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 client's 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.

Requirements

What you’ll need

Master´s Degree in Management, Engineering, Operations Research, Computer Science or equivalent preferred
At least 5-6 years of relevant experience
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. Python).
Advanced understanding of analytics deployment architectures.
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. Power BI, R, Qlikview).

Benefits

Comp & perks

Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data science methodologiesclassical regressionneural netsCHAIDCARTassociation rulessequence analysiscluster analysistext miningmathematical modeling

Soft Skills

communication skillspresentation skillsinterpersonal skillscollaborationproblem-solvingbusiness acumenuser experience simplificationleadershipbest practices developmentstakeholder communication

Certifications

Master's Degree in ManagementMaster's Degree in EngineeringMaster's Degree in Operations ResearchMaster's Degree in Computer Science