Data Scientist (Houston, Texas)

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

Data Scientist (Houston, Texas)

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Who We Are

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description

HPE is seeking a Data Scientist work in our Houston, Texas office on a hybrid schedule. The Data Scientist will design, develop and apply programs, methodologies and systems based advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable insights that drive decision making. The Data Scientist will use visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). The Data Scientist will embed analytics into client’s business processes and applications. Combines business acumen and scientific methods to solve business problems. The Data Scientist will contributions include applying developed subject matter expertise to solve common and sometimes complex technical problems and recommending alternatives where necessary. Might act as project lead and provide assistance to lower level professionals. Exercises independent judgment and consults with others to determine best method for accomplishing work and achieving objectives.

Job: Engineering Job Level: TCP_03

Location

Hybrid schedule in our Houston, Texas office

Responsibilities

• Formulates and defines analytics solution objectives and technical requirements based on user needs, an understanding of business processes, industry requirements, and advanced analytic models (statistical, operations research, computing, process).
• Conceptualizes, builds, develops and enhances a client's analytic model.
• Selects the relevant analytic modeling methodology for the use case, available structured and unstructured data, cost and timing constraints to solve the business issue and deliver clear business focused insights.
• Embeds analytic models in an enhanced business process of operational system by collaborating with Application Developers.
• Responsible for measuring business performance based on the model.
• As a fully functioning analytics team member, applies best practices to analytics solutions and contributes to the development of improved best practices.
• Leads the model enhancements.
• Summarizes complex ideas by developing visual models to display insights to simplify user experience.
• Communicate the analytics solution to the appropriate stakeholders.

Education and Experience Required

• Bachelors Degree in Statistics, Operations Research, Computer Science or equivalent preferred.
• Or Master´s Degree in these areas is preferred 2 + years of relevant experience.

Knowledge and Skills

Advanced knowledge of advanced 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 to achieve measurable business outcomes. Advanced understanding of analytics software (eg. R, SAS, SPSS, Python). Advanced understanding of analytics deployment architectures. Advanced machine learning, data integration, and mathematical modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend). Advanced communication and presentation skills. Strong interpersonal skills and effectiveness in working across geographical boundaries. Working knowledge of programming languages such as Python, SQL, R, SAS, Java, and Unix Shell scripting. Working knowledge of Hadoop framework desired. Advanced knowledge of data visualization techniques and software tools (eg. Spotfire, SAS, R, Qlikview, Tableau, HTML5, D3).

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here. Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

What We Can Offer You

• Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
• Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.
• Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Lets Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

Salary

The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. - United States of America: Annual Salary USD 109,000 - 251,000 in Texas The listed salary range reflects base salary. Variable incentives may also be offered.

Employee Benefits Information

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

Equal Employment Opportunity

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

HPE is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Accessibility (duplicate)

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here. Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

Disclosure of Sensitive Personal Data

Please ensure the resume you submit to us does not include any sensitive personal data. Sensitive personal data includes data revealing information about your racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, health, sex life or sexual orientation. To the extent the resume you submit does contain this type of personal data, you consent to the storing and processing of this data by HPE for the purpose of reviewing and managing your application.