Uses modern visualization tools such as Power BI to translate analytic findings into compelling business stories and recommendations for technical and non-technical stakeholders.
In a typical day as a Data Scientist, you would...
Participates in the analysis, validation, and interpretation of data sets, analytics solutions, and user requirements.
Collects, cleans, transforms, and validates data from multiple sources to support reporting, analytics, and machine learning initiatives.
Develops interactive dashboards, reports, and visualizations using Power BI and other analytics tools to provide business insights and performance monitoring.
Performs exploratory data analysis, statistical analysis, segmentation studies, trend analysis, and hypothesis testing to identify improvement opportunities and business drivers.
Supports the development, testing, and deployment of predictive and machine learning models for business applications including forecasting, classification, customer behavior analysis, and operational optimization.
Collaborates with cross-functional stakeholders to understand business requirements and translate them into data-driven solutions and recommendations.
Participates in data engineering and automation activities including data preparation, ETL processes, and development of repeatable analytics workflows.
Supports the research, identification, and delivery of innovative analytics and data science solutions to business challenges.
Communicates findings, recommendations, and insights to technical and business audiences through reports, dashboards, and presentations.
What you need to bring
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Operations Research, Engineering, Analytics, or a related quantitative discipline.
Experience with analytics, reporting, business intelligence, statistical analysis, data visualization, or machine learning projects through academic, internship, or professional work.
Knowledge and Skills
Basic to intermediate SQL skills for data extraction, transformation, and analysis.
Experience with Power BI or similar business intelligence and data visualization platforms.
Knowledge of statistical analysis techniques including hypothesis testing, regression, forecasting, segmentation, and trend analysis.
Familiarity with Python, R, or equivalent analytics programming languages.
Understanding of machine learning concepts including classification, clustering, predictive modeling, and model validation.
Familiarity with data preparation, ETL processes, and data quality management practices.
Understanding of structured and unstructured data sources and data integration techniques.
Strong analytical thinking, problem-solving, and critical reasoning skills.
Ability to communicate technical concepts and analytical insights to business stakeholders.
Knowledge of customer support, operations, service management, or business performance metrics is a plus.
Strong written and verbal communication skills with the ability to work effectively in cross-functional teams.
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_02
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.
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