Applied Research - Data Scientist

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