Applied Research - Data Scientist

Job Overview

This role involves driving advanced research with a primary focus on machine learning (ML) and natural language processing (NLP). The position requires converting research insights into practical experimental work and leveraging deep technical knowledge to design and enhance systems. It emphasizes the creation of impactful solutions with minimal supervision and contributing to the company's research knowledge by documenting and disseminating findings.

Key Responsibilities

• Address challenging and complex problems utilizing sophisticated AI technologies including ML and NLP.
• Conduct experimental research with a comprehensive outlook to develop innovative solutions.
• Apply extensive expertise to creatively and efficiently resolve difficult challenges.
• Perform in-depth analysis of scenarios or data demanding broad viewpoints and inventive methods.
• Take charge of large-scale projects or workflows with limited managerial guidance.
• Design and deploy advanced systems for language translation, sentiment analysis, and speech recognition.
• Improve machine learning models and predictive analytics algorithms for better efficiency.
• Systematically document research methodologies and results and share them within the organization.
• Provide mentorship to junior researchers and support them with complex project challenges.
• Exercise professional judgement in choosing appropriate methods, techniques, and criteria for outcome evaluation.

Education and Experience

• Over 10 years of professional experience in relevant fields.
• Bachelor’s degree in engineering, computer science, information technology, or similar disciplines.
• Demonstrated expertise in advanced AI/ML techniques including deep learning, Generative AI/Large Language Models (LLMs), NLP, embeddings, retrieval-augmented generation (RAG), fine-tuning, and AI agents.

Technical Skills and Knowledge

• Programming in Python and other relevant languages.
• Machine learning and deep learning frameworks.
• Natural language processing technologies.
• Data engineering practices.
• Machine Learning Operations (MLOps).
• Experience with cloud computing platforms.
• Algorithm design and optimization.
• Proficiency with generative AI and large language models.
• Understanding of AI ethics and responsible AI practices.
• Product-oriented mindset.
• Strong collaboration and communication abilities.
• Analytical and critical thinking skills.
• Expertise in agentic AI systems.
• Statistical modeling techniques.

Cross-Organizational Competencies

• Effective interpersonal communication.
• Outcome-focused and results-driven approach.
• Rapid learning agility.
• Digital literacy.
• Customer-centered perspective.

Impact and Complexity

• This position influences functional operations and leads or contributes expertise to project teams, often involved in cross-functional efforts.
• Engages with complex issues that require thorough analysis involving numerous factors.

Additional Information

• The job description presents a general overview of duties and qualifications; it is not exhaustive and may be updated or adjusted by management as needed.
• HP is an Equal Opportunity Employer committed to providing an inclusive work environment regardless of various legally protected characteristics. Applicants will not face discrimination or adverse treatment based on any disclosed information.