Hybrid Data Scientist: Analytics, Insights & Impact

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

Benefits offered by this job

Health & Wellbeing

Professional Development

Inclusion

Job summary

Hewlett Packard Enterprise Development LP is seeking a Data Scientist in Houston, TX with a hybrid schedule (2 days per week in the office). The role focuses on designing and applying advanced analytic models to transform data into actionable insights that drive decision making.

Responsibilities include building and embedding analytics into client processes, selecting modeling methods, and communicating results to stakeholders.

Qualifications

• Bachelor's degree in Statistics, Operations Research, Computer Science or equivalent preferred.
• Master's degree in these areas is preferred.
• 2+ years of relevant experience.

Responsibilities

• Formulates analytics objectives and technical requirements based on user needs and industry requirements.
• Conceptualizes and enhances client analytic models.
• Selects suitable modeling methodologies for data issues to deliver clear insights.
• Embeds analytic models in client business processes with developers.
• Measures business performance based on the model.
• Applies best practices and contributes to analytics process improvements.
• Leads model enhancements and communicates results to stakeholders.
• Develops visual models to simplify user experience and insights.
• Collaborates across geographical boundaries to ensure results align with business needs.

Skills

Python

R

SQL

Machine Learning

Education

Bachelor's degree in Statistics/Operations Research/Computer Science

Master's degree preferred

Tools

Python

R

SAS

SPSS

Tableau

Spotfire

D3

Hadoop

SQL

Job description

Hewlett Packard Enterprise Development LP is seeking a Data Scientist in Houston, TX with a hybrid schedule (2 days per week in the office). The role focuses on designing and applying advanced analytic models to transform data into actionable insights that drive decision making.

Responsibilities include building and embedding analytics into client processes, selecting modeling methods, and communicating results to stakeholders.