NLP Data Scientist

Brilliant®; Chicago (IL); Hybrid; USD 170,000 - 185,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Paid Time Off (PTO)

Job summary

An established industry player is seeking a talented Data Scientist to join their innovative team. This role focuses on developing and applying cutting-edge NLP and AI solutions, with responsibilities that include building models for text classification and sentiment analysis, evaluating external AI tools, and leading project execution. The ideal candidate will possess strong Python skills and experience with NLP libraries, as well as excellent project management and communication abilities. This is a fantastic opportunity to work at the forefront of AI technology, contributing to strategic initiatives and driving impactful projects.

Qualifications

• 3+ years in data science with 1+ year in NLP and Generative AI.
• Hands-on experience in building NLP solutions and fine-tuning models.

Responsibilities

• Develop NLP solutions to identify business opportunities.
• Lead projects and communicate insights to non-technical audiences.

Skills

Natural Language Processing (NLP)

Python

Machine Learning

Project Management

Communication Skills

Education

Master’s or Ph.D. in Data Science

Equivalent Practical Experience

Tools

spaCy

NLTK

Snorkel

Databricks

GitHub

MLflow

SageMaker

SQL

Job description

Job Title: Data Scientist

Location: Chicago, IL - Hybrid 60606

Salary Range: $170,000 - $185,000

Benefits: Medical, Dental, Vision, PTO etc

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.

Qualifications

• 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.

Preferred Experience

• Hands-on experience with cloud-based AI/ML platforms.
• Expertise in fine-tuning open-source LLM frameworks.

Brilliant Staffing, LLC is an Equal Opportunity Employer and encourages applications from all individuals regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, disability, or veteran status.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Staffing and Recruiting