Description
At HPE Networking, the Digital Experience & Automation (DEA) team is reimagining how people experience support and services in a digital-first world. As a Data Scientist, you will play a key role in discovering, evaluating, and scaling solutions that embed intelligent technology into every interaction. Your responsibilities will include:
- Interpreting data and analyzing results using statistical techniques to provide advanced measurement dashboards
- Developing and implementing data collection systems, data analytics, and other strategies to optimize statistical efficiency and quality
- Identifying, analyzing, and interpreting trends or patterns in complex data sets
- Working with management to prioritize business and information needs and analyzing data to develop conclusions
- Locating and defining new process improvement opportunities via creating long-term monitoring frameworks
- Discovering trends and patterns across customer journeys using clustering, segmentation, and anomaly detection
- Extensive experience with machine learning and data mining algorithms, including Clustering, Regression, Dimensionality Reduction frameworks, and Model Calibration
- Experience with creating and running surveys based on sampling strategies and experiments
- Working with cross-functional teams to build data solutions that impact business decisions
- Partnering with Data Engineering to design scalable data models and canonical schemas
- Designing Power BI dashboards and advanced data visualizations to communicate findings to technical and non-technical audiences
To be successful in this role, you will need:
- Master's or PhD degree in business administration, economics, computer science, management information systems, or related field
- Overall 5-7+ years of experience in Data Science, Machine Learning, or Applied Research
- Experience with Generative AI, RAG, and Multi-Turn Evaluation, Statistical modeling, Data Mining, Reporting & Analytics, and Customer Journey models and frameworks
- Strong understanding of data models, ETL pipelines, Python programming, machine learning models, and advanced dashboarding skills
- Knowledge of statistics and experience using statistical packages for analyzing datasets
- Experience working with customer support data, conversational AI logs, and omnichannel analytics
We offer a comprehensive suite of benefits that supports physical, financial, and emotional wellbeing, as well as opportunities for personal and professional development.