Hybrid Data Scientist: Analytics & Visualization Pro

Hewlett Packard Enterprise; Waco (TX); Hybrid; USD 109,000 - 251,000; Full time

Job summary

Hewlett Packard Enterprise seeks a Data Scientist for its Houston, Texas office on a hybrid schedule. The role focuses on designing and applying advanced analytic models to transform data into actionable insights for decision making.

The candidate will visualize insights, embed analytics into client processes, and may lead projects. Strong background in statistics, machine learning, and programming is required, with 2+ years of relevant experience.

Qualifications

• Bachelor's degree in Statistics, Operations Research, Computer Science or equivalent (master's preferred).
• Minimum 2+ years of relevant experience.
• Advanced data science methodologies including regression, neural nets, clustering, text analytics.
• Proficient in analytics software (R, SAS, SPSS, Python) and deployment architectures.
• Experience with ETL tools (Informatica, Ab Initio, Talend).
• Strong communication and presentation skills; ability to translate business needs into models.

Responsibilities

• Defines analytics objectives and technical requirements based on business needs.
• Constructs and enhances client analytics models using suitable methods.
• Embeds models into business processes and measures performance.
• Leads model enhancements and shares best practices with the team.
• Summarizes complex ideas with visual models for stakeholders.
• Communicates analytics solutions to relevant stakeholders.

Skills

Statistics

Operations Research

Python

R

SQL

Machine Learning

Data Visualization

Communication

Team Collaboration

Education

Bachelor's Degree in Statistics, Operations Research, Computer Science or equivalent

Tools

SAS

Tableau

Spotfire

Informatica

Hadoop

Job description

Hewlett Packard Enterprise seeks a Data Scientist for its Houston, Texas office on a hybrid schedule. The role focuses on designing and applying advanced analytic models to transform data into actionable insights for decision making.

The candidate will visualize insights, embed analytics into client processes, and may lead projects. Strong background in statistics, machine learning, and programming is required, with 2+ years of relevant experience.