Applied Research Data Scientist

Role Overview

This position entails conducting pioneering research primarily focused on machine learning (ML) and natural language processing (NLP). The role aims to convert research insights into practical experimentation and leverage diverse technical knowledge to design and enhance systems effectively. Contributions also include enriching the organization's collective knowledge base through thorough documentation and dissemination of results.

Key Responsibilities

• Tackle challenging and intricate issues utilizing cutting-edge AI technologies like ML and NLP.
• Lead experimental research initiatives with a comprehensive viewpoint to uncover innovative approaches.
• Deploy extensive experience to creatively and efficiently solve complex problems.
• Evaluate scenarios or datasets demanding broad insight and novel solutions.
• Manage significant projects or workflows autonomously with nominal managerial supervision.
• Develop and advance sophisticated systems covering language translation, sentiment analysis, and speech recognition.
• Refine machine learning and predictive analytical algorithms to enhance performance.
• Clearly document and disseminate research procedures and outcomes within the company.
• Provide mentorship and expert guidance to junior researchers on intricate tasks.
• Exercise discretion in choosing appropriate methodologies, techniques, and evaluation standards for analysis.

Qualifications & Experience

• Possess over 10 years of professional experience in relevant fields.
• Hold a Bachelor's degree in engineering, computer science, information technology, or a related discipline.
• Expert knowledge of advanced AI and ML topics including Deep Learning, Generative AI, Large Language Models (LLMs), NLP, embeddings, Retrieval-Augmented Generation (RAG), model fine-tuning, and AI agents.

Technical Proficiencies

• Strong command of programming languages, notably Python.
• Expertise in Machine Learning and Deep Learning methodologies.
• In-depth understanding of Natural Language Processing technologies.
• Experience with Data Engineering and MLOps practices.
• Familiarity with Cloud Platforms and Algorithm Design.
• Knowledge of Generative AI, Large Language Models, and agentic AI systems.
• Awareness of AI Ethics and Product-Oriented Thinking.
• Excellent collaboration, communication, and analytical capabilities.
• Competence in Statistical Modeling and Critical Thinking.

Cross-Functional Competencies

• Effective communication skills to interact across teams.
• Strong focus on achieving results.
• Ability to learn quickly and adapt.
• Digital fluency.
• Customer-centric approach.

Impact & Complexity

• This role influences functional teams by providing expertise and may engage in cross-departmental projects.
• Handles multifaceted problems requiring comprehensive evaluation of various factors.

Equal Opportunity Employer

The company is an equal opportunity employer, offering fair employment practices without discrimination based on race, religion, gender, national origin, age, disability, or other protected characteristics. Applicants are assured confidential and non-retaliatory treatment when disclosing personal data voluntarily.

Additional Information

The job description outlines the general scope of work and is subject to modifications or expansion as deemed necessary by management.