Staff Data Scientist — Conversation Intelligence (Remote)

Nerdy, Inc.; United States; Remote; USD 180,000 - 280,000; Full time

Benefits offered by this job

USD compensation

Remote work

Flexible PTO

Holiday pay

Learning membership

AI tools access

Collaborative culture

Global impact

Job summary

Nerdy, Inc. is seeking a Staff Data Scientist for Conversation Intelligence to apply NLP and large language models to call, chat, and session transcripts. You will design end-to-end solutions, evaluate models, and deploy them on a modern lakehouse stack, owning problems from concept to business impact.

You will work on measurement design, production readiness, and explain findings to business leaders, while leveraging AI to accelerate development, evaluation, and operations.

Qualifications

• Master's degree in Computer Science, Statistics, Mathematics, Computational Linguistics, or a related quantitative field is required; a PhD is preferred.
• 6+ years applying data science or machine learning to real products, including at least one system you took from concept to production and kept in use.
• Expertise in natural language processing and large language models: prompt design, structured extraction, fine-tuning or retrieval where it pays off.

Responsibilities

• Conversation modeling: Apply NLP and large language models to call, chat, and session transcripts to extract structured signals.
• Measurement design: Define what good looks like in a conversation and translate into measurable metrics.
• LLM evaluation: Build evaluation methods with rubrics and human review to catch regressions.

Skills

NLP

LLMs

Python

SQL

Model deployment

Experiment design

Education

MS in CS/Statistics/Math/Computational Linguistics

PhD preferred

Tools

Starburst Galaxy

Iceberg

dbt Cloud

Snowflake

BigQuery

Job description

Nerdy, Inc. is seeking a Staff Data Scientist for Conversation Intelligence to apply NLP and large language models to call, chat, and session transcripts. You will design end-to-end solutions, evaluate models, and deploy them on a modern lakehouse stack, owning problems from concept to business impact.

You will work on measurement design, production readiness, and explain findings to business leaders, while leveraging AI to accelerate development, evaluation, and operations.