Data Scientist

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

Benefits offered by this job

Health & wellbeing

Personal & Professional Development

Unconditional Inclusion

Job summary

Hewlett Packard Enterprise in Houston, TX is seeking a Data Scientist for a hybrid schedule (average 2 days in office). You will design and apply advanced analytics to turn structured and unstructured data into practical, business-ready insights and help embed analytics into operational processes and applications.

The role requires 2+ years of experience, a degree in Statistics/Operations Research/Computer Science (Master’s preferred), and strong knowledge of regression, neural nets, CHAID,

Qualifications

• Bachelor-level/ master preferred in a quantitative field.
• Experience applying analytics to business problems.
• Proficient in Python, SQL, R, SAS and visualization tools.

Responsibilities

• Formulate analytics objectives and technical requirements based on user needs and business processes.
• Conceptualize, build, develop, and enhance client analytic models.
• Select modeling methodologies considering data availability, cost, and timing constraints to deliver insights.
• Embed analytic models into operational processes by collaborating with Application Developers.
• Measure business performance based on the model.
• Lead model enhancements and communicate insights with visual models to simplify the user experience.

Skills

Python

SQL

R

SAS

Java

Unix Shell

Machine Learning

Data Visualization

Communication

Education

Bachelor's in Statistics, Operations Research, Computer Science

Master's degree preferred

Tools

Informatica

Ab Initio

Talend

Spotfire

Tableau

Hadoop

HTML5

D3

SAS

Python

SQL

Unix Shell

Job description

Hewlett Packard Enterprise is hiring a Data Scientist for the Houston, TX office on a hybrid schedule (average 2 days per week in office). In this role, you will design and apply advanced analytics to turn structured and unstructured data into practical, business-ready insights, and help embed analytics into operational processes and applications.

How you’ll contribute

• Formulate analytics solution objectives and technical requirements based on user needs, business processes, industry requirements, and advanced analytic models (statistical, operations research, computing, process).
• Conceptualize, build, develop, and enhance client analytic models.
• Select modeling methodologies appropriate to the use case, including consideration of data availability, cost, and timing constraints to deliver clear, business-focused insights.
• Embed analytic models into enhanced operational business processes by collaborating with Application Developers.
• Measure business performance based on the model.
• As a fully functioning analytics team member, apply best practices and help improve them over time.
• Lead model enhancements.
• Summarize complex ideas through visual models that simplify the user experience and display insights.
• Communicate the analytics solution to the appropriate stakeholders.

What you’ll need

• 2+ years of relevant experience.
• Bachelor’s degree in Statistics, Operations Research, Computer Science (or equivalent). A Master’s is preferred.
• Advanced 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 that support measurable outcomes.
• Advanced understanding of analytics software such as R, SAS, SPSS, and Python.
• Advanced understanding of analytics deployment architectures.
• Advanced skills in machine learning, data integration, mathematical modeling, and ETL tools (example tools: Informatica, Ab Initio, Talend).
• Strong communication and presentation skills, plus effective collaboration across geographical boundaries.
• Working knowledge of programming languages including Python, SQL, R, SAS, Java, and Unix Shell scripting.
• Working knowledge of Hadoop is desired.
• Advanced knowledge of data visualization techniques and tools such as Spotfire, SAS, R, QlikView, Tableau, HTML5, and D3.

Tools you may use

R, SAS, SPSS, Python, Informatica, Ab Initio, Talend, SQL, Java, Unix Shell scripting, Hadoop, Spotfire, QlikView, Tableau, HTML5, D3, along with classical regression, neural nets, CHAID, CART, association rules, sequence analysis, cluster analysis, and text mining.

Salary & location

USD 109,000 - 251,000 per year. Hybrid schedule in the Houston, Texas office.

Benefits & inclusion

• Health & wellbeing
• Personal & Professional Development
• Unconditional Inclusion

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you need accommodation during any stage of the application or interview process, submit your request by completing the secure form linked in the application.