Data Scientist

Hewlett Packard Enterprise

. Design, develop, and apply programs, methodologies, and systems based on advanced analytic models .

Posted 10/12/2026full-timeHouston • Texas • United StatesJuniorMid-Level💰 $109,000 - $251,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced knowledge in data science methodologies and analytics software, with the ability to translate business requirements into actionable insights and mathematical models. Proficient in developing and embedding analytic models into business processes while effectively communicating solutions to stakeholders.

Highest-signal resume keywords

Data Science MethodologiesAnalytics Software (R, SAS, SPSS, Python)Machine LearningData Visualization Techniques (Tableau, QlikView)Communication and Presentation Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Regression AnalysisNeural NetworksCHAIDCARTText MiningData IntegrationMathematical ModelingETL ToolsSQLHadoop Framework

Soft Skills

Interpersonal SkillsCollaboration Across Geographical Boundaries

Tools & Technologies

SpotfireHTML5D3SASRPythonJavaUnix Shell Scripting

Industry Keywords

Analytics Best PracticesBusiness ProcessesAnalytic ModelsDecision-Making Insights

Tech Stack

Tools & technologies

D3.jsETLHadoopJavaPythonShell ScriptingSQLTableauUnix

About the role

Key responsibilities & impact

Design, develop, and apply programs, methodologies, and systems based on advanced analytic models
Transform structured and unstructured data into meaningful, actionable insights that drive decision-making
Use visualization techniques to translate analytic insights into understandable business stories
Embed analytics into clients' business processes and applications
Formulate analytics solution objectives and technical requirements based on user needs and business processes
Conceptualize, build, develop, and enhance client analytic models
Select appropriate analytic modeling methodologies based on use case, data, cost, and timing constraints
Embed analytic models into business processes or operational systems in collaboration with Application Developers
Measure business performance based on analytic models
Apply analytics best practices and contribute to improved best practices
Lead model enhancements
Develop visual models to simplify complex ideas and user experience
Communicate analytics solutions to appropriate stakeholders
May act as project lead and assist lower-level professionals

Requirements

What you’ll need

Bachelor's degree in Statistics, Operations Research, Computer Science or equivalent preferred
Master's degree in Statistics, Operations Research, Computer Science preferred
2+ years of relevant experience
Advanced knowledge of data science methodologies, including 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
Advanced understanding of analytics software such as R, SAS, SPSS, and Python
Advanced understanding of analytics deployment architectures
Advanced machine learning, data integration, mathematical modeling, and ETL tool skills
Advanced communication and presentation skills
Strong interpersonal skills and effectiveness working across geographical boundaries
Working knowledge of Python, SQL, R, SAS, Java, and Unix Shell scripting
Working knowledge of Hadoop framework desired
Advanced knowledge of data visualization techniques and tools such as Spotfire, SAS, R, QlikView, Tableau, HTML5, and D3

Benefits

Comp & perks

Comprehensive benefits supporting physical, financial, and emotional wellbeing
Personal and professional development programs
Flexible work arrangements to manage work and personal needs
Inclusive workplace
Reasonable accommodation during the application or interview process