Hybrid Data Scientist - Turn Data into Business Insights

Hewlett Packard Enterprise; Houston (TX); Ibrido; USD 109.000 - 251.000; Tempo pieno

Descrizione del lavoro

Hewlett Packard Enterprise in Houston, TX is seeking a Data Scientist for a hybrid role. You will design, develop and apply advanced analytic models to transform data into actionable insights that drive business decisions.

You will translate analytics into visual stories and embed models in client processes, collaborating across teams to deliver measurable results. Qualifications include a statistics/CS background and 2+ years of relevant experience, with strong Python/R/SAS skills and

Competenze

• Advanced data science methodologies including regression, neural nets, CHAID, CART and text mining.
• Ability to translate business requirements into mathematical models and data science objectives.
• Strong knowledge of analytics software (R, SAS, Python) and deployment architectures.

Mansioni

• Formulates analytics objectives and technical requirements based on user needs and advanced models.
• Builds and enhances client analytic models with relevant data sources.
• Embeds analytic models in business processes and measures performance.
• Leads model enhancements and communicates insights to stakeholders.
• Summarizes complex ideas with visual models to improve user experience.
• Collaborates across teams to ensure successful analytics delivery.

Conoscenze

Regression

Neural nets

CHAID

CART

Association rules

Sequence analysis

Cluster analysis

Text mining

Python

SQL

R

SAS

Java

Unix shell

Spotfire

Tableau

Qlikview

D3

HTML5

Formazione

Bachelor's or Master in Statistics/OR/CS

Strumenti

Informatica

Ab Initio

Talend

Descrizione del lavoro

Hewlett Packard Enterprise in Houston, TX is seeking a Data Scientist for a hybrid role. You will design, develop and apply advanced analytic models to transform data into actionable insights that drive business decisions.

You will translate analytics into visual stories and embed models in client processes, collaborating across teams to deliver measurable results. Qualifications include a statistics/CS background and 2+ years of relevant experience, with strong Python/R/SAS skills and