Applied Research - Data Scientist

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.

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