Data Scientist

Data Scientist

This role has been designated as ‘Edge’, which means you will primarily work outside of an HPE office.

**_ Job Family Definition:_**

Designs, develops and applies programs, methodologies and systems based on 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.

Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights).

**_ 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:_**
- PhD degree in Statistics, Operations Research, Computer Science or equivalent preferred. Or Master´s Degree in these areas and at least 2-3 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, 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).

Join us and make your mark

We offer:

- A competitive salary and extensive social benefits
- Diverse and dynamic work environment
- Work-life balance and support for career development
- An amazing life inside the element Want to know more about it?

Then let’s stay connected

singapore

LI-Hybrid
- #LI-ZW1

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

**Job**:
Engineering
**Job Level**:
Specialist

**Hewlett Packard Enterprise is EEO F/M/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.