This role is responsible for leading and developing AI-driven solutions that enhance customer intelligence, automate processes, and generate predictive insights. This role involves analyzing and interpreting complex data sets using statistical techniques to identify trends, patterns, and insights that can be used to form business decisions and improve organizational performance and bridges the gap between raw data and actionable intelligence, requiring working across multiple HP projects involving large language and multi-model models and other cutting-edge Agentic AI capabilities.
Responsibilities
Collaborates with stakeholders to understand business requirements and develop AI-driven solutions to surface insights; drives action, defines success measures and tracks effectiveness of solution
Develops monitoring metrics to reflect real-world model performance and makes recommendations to shape the future direction of models and digital solutions.
Delivers predictive and prescriptive models of high complexity to surface insights; drives action, defines success measures and tracks performance of models.
Data mine and analyze monthly calls, returns, telemetry and sentiments (nps, web reviews) data to provide holistic and detailed analysis of product quality to generate impactful and actionable insights
Enable predictive data analytic capabilities using printer telemetry data.
Ties insights into effective visualizations communicating business value and innovation potential.
Solves difficult and complex problems with a fresh perspective, demonstrating good judgment in selecting creative solutions and managing projects independently.
Provides guidance, training and mentoring to less experienced staff members.
Education & Experience Recommended
Four-year or Graduate Degree in Mathematics, Statistics, Computer Science, Information Technology, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence.
Typically has 5-7 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.
Strong foundation in data science and core machine learning concepts.
Experience with large language models, multi-modal modals, prompt engineering, vector databases, data analysis / visualization tools and software like Power BI, Looker, Databricks etc
Proficiency in SQL for data extraction and manipulation, computer programming languages such as Python, R
Attention to detail and a commitment to data accuracy.
Proficient in PowerPoint, Excel and related IT tools for data mining & analysis.
Ability to effectively communicate, drive discussions & provide options at management levels
Preferred Certifications
Programming Language/s Certification (SQL, Python, or similar)
Knowledge & Skills
Agile Methodology
Amazon Web Services
Big Data
Computer Science
Data Analysis
Data Engineering
Data Modeling
Data Pipelines
Data Warehousing
Extract Transform Load (ETL)
Java (Programming Language)
Machine Learning
Microsoft Azure
Python (Programming Language)
SQL (Programming Language)
Cross-Org Skills
Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity
Disclaimer
This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
