Scrunch · 14 hours ago
Data Scientist
New York, NY
Full-time
Hybrid
Mid Level
$150K/yr - $180K/yrScrunch is a venture-backed startup focused on transforming marketing through AI-driven solutions. The Data Scientist role involves building and improving AI-augmented information retrieval systems, collaborating with cross-functional teams to deliver measurable features and insights.
Artificial Intelligence (AI)Information TechnologyInternet
Responsibilities
Design, prototype, and productionize models/algorithms for retrieval, ranking, and relevance quality across web and AI-assisted surfaces
Build NLP pipelines (classification, entity extraction, topic modeling, sentiment analysis) and validate them with clear offline + online metrics
Own measurement and experimentation: hypotheses, experiment design, guardrails, and readouts that drive decisions
Develop simulation / modeling frameworks to forecast outcomes, test policies, and stress-test system behavior under different assumptions
Contribute to knowledge graph / semantic web work: schema design, entity resolution, and downstream ML / GenAI applications
Translate technical work into crisp narratives for stakeholders (product tradeoffs, confidence, limitations, and next steps)
Contribute to external thought leadership where it makes sense (blog posts, talks, papers)
Qualification
Required
Strong foundations in statistics, experimental design, and model evaluation
Hands-on experience with information retrieval / ranking / search relevance, ideally in AI-augmented contexts
Experience building and evaluating NLP models in production or research settings
Proficiency in Python and SQL
Strong communication: you can explain what you did, why it matters, and how confident you are, without hand-waving
Deep comfort with the web as a system (crawl/index realities, domains, content structure, measurement constraints)
Experience working with non-representative data and making results more trustworthy through sampling-aware analysis (bias checks, adjustments, uncertainty)
Work with noisy/partial labels, long-tailed queries, drifting content, and evaluation that mixes offline + online signals
Preferred
Reinforcement learning / control theory / optimal control applied to ranking, allocation, or policy optimization
Semantic Web / Knowledge Graph tooling (RDF/OWL concepts, graph DBs, SPARQL, entity resolution)
SEO + AEO familiarity and the ability to connect technical visibility drivers to business outcomes
Marketing analytics experience (attribution-adjacent thinking, funnel measurement, incrementality)
Publications in top-tier venues (e.g., SIGIR and related IR/NLP conferences) or equivalent demonstrated research depth
Company
Scrunch
Scrunch is the key into the AI-first customer journey: Monitor brand presence. Get actionable insights to grow it.
Founded in 2023
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$19MKey Investors
Decibel PartnersMayfield Fund
2025-07-22Series A· $15M
2025-03-12Seed· $4M
Leadership Team
Robert MacCloy
Co-founder & CTO
Company data provided by crunchbase