Principal Data Scientist

Description -

Job Summary
• This role is responsible for enabling innovation and creativity by bringing cutting edge perspectives on adopting latest data AI and Machine Learning modelling techniques. The role understands current complex business problems and future business strategy to assess, build and deploy required data mining and modelling capabilities.

Responsibilities
• Defines and implements AI solutions to create business value and innovation.

• Works with Data Science leaders to develop new innovative solutions to existing or new business challenges.

• Develops clear presentations for business stakeholders and managers.

• Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives.

• Leads organization wide team or teams of other data science professionals in complex projects
• Provides guidance, training and mentoring to less experienced staff members.

Education & Experience Recommended
• Master's or Ph.D degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
• 10+ years of work experience, preferably in data analytics, statistical modeling, machine learning, AI or a related field.
Language/s Certification (SQL, Python, or similar)

Knowledge & Skills
• Proficiency in Python, PySpark and SQL Programming

• Expertise in Databricks: Ability to design, develop, and optimize workflows in Azure Databricks for data processing and feature engineering.

• Understanding of NLP and GenAI concepts: Familiarity with Large Language Models, prompt engineering for LLMs, vector databases, and Retrieval Augmented Generation (RAG) systems.

• Experience in Applied Statistics and Algorithms, including predictive modelling and A/B test design

• Ability to effectively communicate data insights and negotiate options at senior management levels.

• Strong analytical and problem-solving skills.

• Excellent written and verbal communication skills; mastery in English.

• Experience in deploying industry grade setups: from development to production grade

• familiarity with CI/CD and observability (monitoring)

Cross-Org Skills
• Team leadership

• 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.

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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"