About the role
AI summarisedLead and develop AI-driven solutions to enhance customer intelligence, automate processes, and generate predictive insights. This role bridges the gap between raw data and actionable intelligence by analyzing complex datasets using statistical techniques across various HP projects involving cutting-edge Agentic AI capabilities.
ElectronicsOnsiteData & Information Technology
Key Responsibilities
- Collaborate with stakeholders to understand business requirements and develop AI-driven solutions to surface actionable insights.
- Develop monitoring metrics to reflect real-world model performance and recommend future directions for models and digital solutions.
- Deliver high-complexity predictive and prescriptive models to surface insights, define success measures, and track performance.
- Mine and analyze monthly calls, returns, telemetry, and sentiment (NPS, web reviews) data for holistic product quality analysis.
- Enable predictive data analytic capabilities using printer telemetry data.
- Translate insights into effective visualizations that communicate business value and innovation potential.
- Solve difficult, complex problems independently with a fresh perspective and good judgment.
Requirements
- Four-year or Graduate Degree in Mathematics, Statistics, Computer Science, Information Technology, Software Engineering, or related field.
- 5-7 years of professional experience, preferably in data analytics, statistical modeling, or machine learning.
- Strong foundation in data science and core machine learning concepts.
- Proficiency in SQL for efficient data extraction and manipulation.
- Proficiency in computer programming languages such as Python or R.
- Experience with large language models, multi-modal models, and prompt engineering.
- Attention to detail and commitment to data accuracy.