Staff Data Scientist

• Apply NLP and large language models to call, chat, and session transcripts
• Extract structured, reliable signals from unstructured speech and text
• Define conversation quality standards and translate them into validated metrics
• Build LLM evaluation methods using reference datasets, rubrics, model-assisted review, and human review
• Build classification, extraction, scoring, and summarization models
• Analyze connections between conversation behavior and conversion, resolution, and retention
• Take models from prototype to production with engineering partners
• Monitor and retrain models to maintain reliability
• Design and analyze experiments to attribute business impact
• Partner with Data Engineering and Analytics Engineering to create governed, reusable lakehouse tables
• Present findings and recommendations to business and technical leaders
• Use AI for code generation and review, experiment analysis, transcript exploration, and documentation within privacy and security guardrails

• 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
• At least one system taken from concept to production and kept in use
• Expertise in natural language processing and large language models, including prompt design, structured extraction, fine-tuning or retrieval
• Hands-on experience evaluating LLM systems using reference datasets, rubrics, model-assisted review, human reviewers, inter-rater agreement, and regression testing
• Strong Python, including pandas, scikit-learn, and PyTorch or similar
• Expert SQL on a modern warehouse or lakehouse
• Experience with Starburst Galaxy (Trino), Iceberg, dbt Cloud, Snowflake, BigQuery, Databricks, or Athena
• Experience with major LLM APIs such as Anthropic Claude or OpenAI
• Knowledge of production cost, latency, and privacy constraints
• Experience with speech-to-text output, speaker attribution, long-context summarization, PII handling, and transcription errors
• Experimentation and causal inference skills
• Ability to explain findings to non-technical business leaders and create measurable definitions
• Git-based development, code review, and CI/CD experience
• Experience with AI-native productivity tools such as Cursor, Make, Supabase, Netlify, Claude Code, n8n, Firecrawl, ChatGPT, Grok, Bolt, or Vercel
• Alignment with Nerdy’s apolitical, mission-focused culture

• Competitive USD-Benchmarked Compensation: Earn a market-leading rate set in U.S. dollars, paid to you in local currency
• 100% Remote (Home Country Only): Work from anywhere in your home country—no relocation required, no borders crossed
• Flexible Time Off
• Local Holiday Pay
• Free, all-inclusive learning membership for you and your household, including 1-on-1 tutoring hours, unlimited on-demand classes, and access to Nerdy’s learning products and services
• Exclusive access to cutting-edge AI tools
• Regular training and peer reviews
• Feedback-rich, collaborative culture
• Opportunity to contribute to a global learning platform