What are the responsibilities and job description for the NLP Data Scientist position at Brilliant®?
Job Title: Data Scientist
Location: Chicago, IL - Hybrid 60606
Salary Range: $170,000 - $185,000
Benefits: Medical, Dental, Vision, PTO etc
Core Responsibilities
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Location: Chicago, IL - Hybrid 60606
Salary Range: $170,000 - $185,000
Benefits: Medical, Dental, Vision, PTO etc
- Python
- NLP Libraries (Snorkel)
- Databricks
- Azure ML
Core Responsibilities
- Develop and Apply NLP & AI Solutions: Identify business opportunities where NLP can add value. Build and fine-tune models for tasks like text classification, sentiment analysis, entity recognition, generative AI, and retrieval-augmented generation (RAG).
- Evaluate External AI Solutions: Analyze third-party NLP tools and platforms to determine their suitability for the organization, helping to inform build-versus-buy decisions.
- Lead Project Execution: Plan and oversee NLP-focused projects, coordinating with vendors, project managers, and internal stakeholders to ensure high-quality outcomes.
- Communicate Insights Effectively: Translate complex analytical findings into clear and actionable insights, ensuring non-technical audiences understand their implications.
- Stay at the Forefront of Innovation: Keep up with advancements in NLP, machine learning, and Generative AI, proposing new approaches to address organizational challenges.
- Contribute to Strategic Initiatives: Support high-priority projects and provide expertise for ad-hoc tasks as required.
- Educational Background: A Master’s or Ph.D. in Data Science, Computer Science, Computational Linguistics, or a related field is preferred, though equivalent practical experience will be considered.
- Experience:
- A minimum of 3 years in data science, including at least 1 year working with NLP, Large Language Models (LLMs), and Generative AI.
- Hands-on expertise in building and deploying NLP solutions and fine-tuning machine learning models.
- Technical Proficiency:
- Strong Python skills.
- Experience with NLP libraries such as spaCy, NLTK, or Snorkel, and familiarity with fine-tuning techniques for AI models.
- Proficiency in working with tools like Databricks, version control systems (e.g., GitHub), and ML tracking platforms (e.g., MLflow, SageMaker).
- SQL knowledge is a bonus.
- Additional Skills:
- Exceptional project management capabilities.
- Strong communication skills to collaborate with teams and present insights to various stakeholders effectively.
- Hands-on experience with cloud-based AI/ML platforms.
- Expertise in fine-tuning open-source LLM frameworks.
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Salary : $170,000 - $185,000