About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Technology, Information and Internet.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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About the Role

This Data Scientist role is part of an AI‑enabled Call Center Efficiency and Customer Experience (CEX) team supporting a confidential client in the technology and information services industry. You will design, build, evaluate, and deploy NLP and LLM-powered solutions that extract intent, outcomes, sentiment, and other signals from voice, chat, and digital interactions to improve customer experience and operational efficiency across contact centers.

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What You’ll Do

• Design and implement NLP and LLM-based models to extract meaning, intent, outcomes, and sentiment from calls, chats, and other customer interactions.
• Build and deploy production-ready LLM solutions in cloud environments (data pipelines, model serving, monitoring).
• Apply prompt engineering and fine-tuning techniques for transformer models to meet business objectives.
• Develop text classification, embedding, and clustering solutions to surface actionable insights.
• Create evaluation frameworks for LLMs, including hallucination detection, reliability testing, and performance baselining.
• Work with noisy or limited labeled datasets — design labeling strategies and semi-supervised approaches.
• Perform error analysis, debugging, and iterative model optimization to improve precision/recall and user experience.
• Document models, assumptions, and hand off reproducible artifacts to Data Engineering and DevOps teams.
• Collaborate with product, analytics, and contact center stakeholders to translate model outputs into operational improvements.

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What We’re Looking For (Required Qualifications)

• 3+ years of professional experience in Data Science, Applied NLP, or Machine Learning.
• Hands‑on experience building and deploying LLM-based solutions in cloud environments.
• Practical experience with prompt engineering and fine‑tuning transformer models.
• Strong knowledge of NLP techniques: text classification, embeddings, semantic search, and clustering.
• Experience designing evaluation frameworks for LLMs (including hallucination detection and reliability metrics).
• Proven ability to work with limited or noisy labeled datasets and apply robust approaches.
• Strong debugging, error analysis, and model performance optimization skills.
• Clear documentation skills and ability to produce clean handoffs to Data Engineering.
• Proficiency in Python and SQL.

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Preferred Qualifications

• Experience in the healthcare or contact center domain.
• Experience with Google Cloud Platform (GCP).
• Familiarity with LangChain, Retrieval-Augmented Generation (RAG), or conversational AI frameworks.
• Knowledge of version control and software engineering best practices for ML (CI/CD for models, reproducibility).

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Location & Employment Type

• Locations: Jersey City, NJ; Hartford, CT; Dallas, TX.
• Employment type: Full-time.
• Seniority: Mid‑Senior level.

We are committed to providing reasonable accommodations for candidates with disabilities during the application and interview process.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.