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Senior Data Scientist Generative AI / Conversational AI Evaluation W2

BURGEON IT SERVICES LLC

Hybrid in Johnston, Rhode Island • Today

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$30 - $40

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Warwick, Rhode Island • 6d ago

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Powersolv

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The Tri-Com Consulting Group

Hybrid in Providence, Rhode Island • 13d ago

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Providence, Rhode Island • Today

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Providence, Rhode Island • 24d ago

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Apex Systems

Providence, Rhode Island • Today

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Hybrid in Johnston, Rhode Island • 17d ago

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Powersolv

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Kforce Technology Staffing

Smithfield, Rhode Island • Today

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$50 - $60 hourly

Job Details

Skills

Generative Artificial Intelligence (AI)

Summary

We are seeking an experienced Data Scientist to support the development and evaluation of AI-powered fraud self-service voice agents and conversational AI systems. The primary responsibility is not model deployment or engineering implementation, but designing evaluation frameworks, measuring system performance, identifying failure patterns, conducting root-cause analysis, and optimizing model behavior through data-driven experimentation.

Key Responsibilities

Design and execute evaluation frameworks for LLM, RAG, and multi-turn conversational AI systems.
Develop metrics to assess customer intent recognition, conversation quality, guardrail effectiveness, and business outcomes.
Analyze voice-agent interactions and identify areas of failure, drift, and performance degradation.
Perform prompt tuning and experimentation to improve model accuracy and reliability.
Conduct root-cause analysis of conversational failures and recommend remediation strategies.
Measure performance across different model configurations, prompts, and guardrail implementations.
Partner with AI Engineering and Product teams to validate solutions before production deployment.
Build dashboards and reports that communicate model effectiveness and operational impact.
Support fraud-related customer service use cases, including intent detection and multi-turn conversation flows.

Success Criteria

Develop reliable evaluation methodologies for conversational AI systems.
Quantify the effectiveness of fraud self-service voice agents.
Optimize prompts, retrieval strategies, and guardrails using empirical evidence.
Deliver actionable insights that improve customer experience and model performance.
Establish measurable KPIs for intent detection and multi-turn conversation success.

Mandatory Skills:

Strong background in Data Science, Machine Learning, Generative AI, or a related quantitative field.
Hands-on experience evaluating LLM, RAG, Agentic AI, or Conversational AI solutions.
Deep understanding of model evaluation techniques and metrics, including:

Precision@K
Recall@K
Mean Reciprocal Rank (MRR)
F1 Score
Retrieval and generation quality assessment

Experience performing experimentation, statistical analysis, and performance benchmarking.
Strong Python programming skills.
Experience with machine learning libraries and frameworks such as Scikit-learn, XGBoost, Pandas, NumPy, and related tools.
Ability to communicate technical findings succinctly to highly technical stakeholders.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10500016
Position Id: 9088145
Posted 1 hour ago

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Contact the job poster

Rakesh Vangala

Recruiter @ BURGEON IT SERVICES LLC

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