Data Scientist

Embeds analytics and data-driven decision making into business processes and operational workflows. Combines business acumen, statistical methods, machine learning techniques, and data visualization to solve complex business problems and generate actionable insights.

Designs, develops, and implements analytics solutions using structured and unstructured data. Builds dashboards, reports, predictive models, and statistical analyses that support operational excellence, customer experience improvements, strategic planning, and business decision-making.

Uses modern visualization tools such as Power BI to translate analytic findings into compelling business stories and recommendations for technical and non-technical stakeholders.

• 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.

• 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.

• 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.

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.

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.

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.

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.

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.

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.