Customer Success & Insights Engineer

Customer Success & Insights Engineer

Description -

• 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.

• This role 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.

• 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. Perform deep-dive analysis to identify trends, patterns and improvement opportunities.

• Enable predictive data analytic capabilities using printer telemetry data.

• Drive end to end product quality & experience for our Home Inkjet product portfolio.

• Solves difficult and complex problems with a fresh perspective, demonstrating good judgment in selecting creative solutions and managing projects independently.

• Provides guidance and mentoring to less- experienced staff members.

• Communicates project progress, escalations, and analysis to stakeholders; collaborates with management to drive prioritization of resources.

Education & Experience Recommended

• Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.

• Typically has 5-7 years of work experience, preferably in computer programming languages such as Python, R, etc, agile development methodology, 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.

• 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.

Sustainable impact is HP’s commitment to create positive, lasting change for the planet, its people, and our communities. This serves as a guiding principle for delivering on our corporate vision – to create technology that makes life better for everyone, everywhere.

Job -

Engineering

Schedule -

Full time

Shift -

No shift premium (Singapore)

Travel -

No

Relocation -

Not Specified

Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"