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 information 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. 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. Let s Stay Connected: Follow HPECareers on Instagram to see the latest on people, culture and tech at HPE. Job: Engineering Job Level: TCP_03 "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." Information about employee benefits offered in the US can be found at myhperewards.com 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. Please click here: Equal Employment Opportunity . Hewlett Packard Enterprise 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. Recruitment Fraud Alert We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications. All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.

Requirements

Must-haves

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.
HPE is seeking a Data Scientist work in our Houston, Texas office on a hybrid schedule.
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.
Location: Hybrid schedule in our Houston, Texas office
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.
2 years of relevant experience.
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
Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.
Health & Wellbeing

Nice-to-haves

Bachelors Degree in Statistics, Operations Research, Computer Science or equivalent preferred. Or Master´s Degree in these areas is preferred

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonmachine learningsqljavaaccessibility

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Vision

Professional Development