Marketing Data Foundation - Engineer

Job Description:

Our HPE marketing teams are focused on making our brand easy to understand and easy to buy. We’re devising data driven brand strategy, from architecture and naming, to why we exist, what we do, who we are and how we look, feel and sound. As a team, we are retaining and attracting new customers by accelerating our business strategy by making our brand stronger, more relevant, differentiated, and authentic.

Responsibilities:

• Applies basic knowledge of the client's business need to formulate and define analytic objectives.  Uses available data elements, defines business rules, and solution objectives.
• Develops, enhances and maintains a client's metadata based on analytic objectives.  May load data into the infrastructure, creates hypothesis matrix, and identifies available data to prepare for the Exploratory Data Anlysis (EDA) and hypotheses.
• Builds models to supports/contribute to the overall solution, validates initial model and validates results & performance after the implementation.
• Researches, identifies, and aids in delivering data science solutions to problem domain. Contributes significantly in measurement of business performance based on the model deployed. If needed, leads the model enhancements.
• Create visualization of the model's insights for easy consumption.

Education and Experience Required:

• Master´s degree in Statistics, Operations Research, Computer Science or equivalent preferred. Or Bachelor´s Degree in these areas and at least 2-3 years of relevant experience.

Knowledge and Skills:

• Data Foundations - Engineer responsible for designing, developing and maintaining scalable data pipelines and big data solutions using Databricks. Knowledge in Python, Apache Spark and Databricks.
• Working 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.
• Understanding of business requirements, how they relate to data science objectives and how to translate them into mathematical models.  
• Strong background and working proficiency in effective use of analytics software (eg. R, SAS, SPSS, Python, Cplex).
• Working knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Infomatica, Ab Initio, Talend).
• Solid communication and presentation skills.
• Working knowledge of relevant data programming languages.
• Strong interpersonal skills and effectiveness in working across geographical boundaries.
• Working knowledge of data visualization techniques.

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.

Job:

Job Level:

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.