Staff Data Scientist

Job not on LinkedIn

🔥 12 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nerdy

WebsiteLinkedInAll Job Openings

501 - 1000 employees

📚 Education

🤖 Artificial Intelligence

☁️ SaaS

💰 $150M Post-IPO Equity - Nerdy on 2021-09

Education • Artificial Intelligence • SaaS

Nerdy is an education technology company that combines live instruction (through Varsity Tutors) with AI-powered learning tools on a purpose-built platform. It offers live 1-to-1 tutoring, weekly prep classes, workshops, instant session playback, and AI features such as session summaries, adaptive diagnostics, an on-demand AI Tutor, and a Tutor Copilot to surface examples and exercises. The platform covers 3,000+ subjects and uses data-driven expert curation and AI-based matching to connect learners with high-rated tutors and personalize practice and study agents.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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