Applied Research - Data Scientist

HP; India; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

HP, Inc. Applied Research is seeking a Data Scientist to conduct innovative ML and NLP research, translating insights into experiments and scalable systems in an enterprise setting.

The role involves developing impactful solutions with minimal oversight, documenting findings, and mentoring junior researchers within HP's knowledge ecosystem.

Qualifications

• 10+ years of experience in AI/ML and NLP.
• Bachelor’s degree in engineering, computer science, information technology or a related field.
• Advanced AI/ML: Expert in ML, Deep Learning, GenAI/LLMs, NLP, embeddings, RAG, fine-tuning, and AI agents.
• Experience documenting and sharing research findings.

Responsibilities

• Solve difficult and complex problems using ML/NLP.
• Conduct experimental research to identify innovative solutions.
• Apply broad experience to resolve issues creatively.
• Analyze data and situations requiring broad perspectives.
• Lead large projects or processes with limited oversight.
• Develop and implement systems for language translation, sentiment analysis, and speech recognition.
• Optimize algorithms for ML and predictive analytics.
• Document and share research processes and findings.
• Mentor junior researchers on complex projects.
• Choose methods and evaluation criteria to obtain results.

Skills

Python

ML

NLP

Data Engineering

MLOps

Cloud Platforms

Algorithms

GenAI/LLMs

AI Ethics

Product Thinking

Collaboration

Analytical Skills

AI agents

Statistical Modeling

Critical Thinking

Education

Bachelor's degree in engineering / CS / IT

10+ years of experience

Advanced AI/ML expertise

Tools

Additional tools not listed

Job description

Applied Research - Data Scientist Description - Job Summary

This role is responsible for conducting innovative research focused on machine learning (ML) and natural language processing (NLP), translating insights into experimentation and applying broad technical expertise to design and optimize systems. It involves developing impactful solutions with minimal oversight and contributing to the organization’s knowledge base by documenting and sharing findings.

Responsibilities

• Solve difficult and often complex problems using advanced AI technologies such as ML and NLP.
• Conduct experimental research with a broad perspective to identify innovative solutions.
• Apply wide-ranging experience to resolve complex issues creatively and effectively.
• Analyze situations or data requiring broad perspectives and innovative solutions.
• Lead large projects or processes with limited oversight from management.
• Develop and implement advanced systems for language translation, sentiment analysis, and speech recognition.
• Optimize algorithms for machine learning and predictive analytics.
• Document and share research processes and findings within the organization.
• Mentor junior researchers and provide guidance on complex projects.
• Exercise judgment in selecting methods, techniques, and evaluation criteria for obtaining results.

Education & Experience

Recommended

• 10 years+ of experience
• Bachelor’s degree in engineering, computer science, information technology or a related field.
• Advanced AI/ML: Expert in ML, Deep Learning, GenAI/LLMs, NLP, embeddings, RAG, fine-tuning, and AI agents.

Preferred Certifications

N/A

Knowledge & Skills

• Programming Languages
• Python (Programming Language)
• Machine Learning & Deep Learning
• Natural Language Processing (NLP)
• Data Engineering
• MLOps
• Cloud Platforms
• Algorithm Design
• Generative AI & LLMs
• AI Ethics
• Product Thinking
• Collaboration & Communication
• Analytical skills
• AI agents - agentic systems
• Statistical Modeling
• Critical Thinking.

Cross-Org Skills

• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope

Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.

Complexity

Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.

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.

#LI-POST Job - Software Schedule - Full time Shift - No shift premium (India) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc.

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