Instacart
Senior Data Scientist- Shopping Experience (Search)
Rol remoto de Data Science con fit claro de ubicación del candidato.
PublicadoAgregado recientemente
Países elegibles1 país aceptado
Señal de senioritySenior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Canadá
Resumen del rol
Senior Data Scientist- Shopping Experience (Search)
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
About the Job
- Own core Search metrics and funnels end to end (e.g., query → impression → engagement → cart adds), including defining guardrails, monitoring performance across platforms and segments, and diagnosing conversion gaps.
- Design, run, and interpret experiments across ranking, retrieval, and search UX (e.g., relevance model changes, query understanding, result layouts), turning ambiguous or conflicting outcomes into crisp, data-driven recommendations.
- Partner with Product, Engineering, and ML to prioritize opportunities, size impact, and influence the roadmap for relevance, quality, and latency improvements that unlock measurable business outcomes.
- Build deep diagnostic analyses by query class, price point, surface, and customer lifecycle to pinpoint where and why Search underperforms and specify concrete changes that will move key outcomes.
- Connect offline model evaluation with online and business metrics by collaborating with ML partners on evaluation design, ensuring model changes reliably improve end-user experience—not just offline scores.
- Improve data quality, instrumentation, and metric definitions for Search so that teams can reason about performance with clarity, consistency, and speed.
Minimum Qualifications
- 5+ years of experience in data science or product analytics, with a track record of impact on consumer-facing products.
- Advanced SQL proficiency, including complex joins and window functions, working with large-scale datasets in modern data warehouses (e.g., Snowflake, BigQuery, Redshift).
- Proficiency in Python or R for analysis, experimentation, and modeling.
- Hands-on experience designing and analyzing A/B tests end to end, including metric selection, power and sample sizing, covariate adjustment, and decision-making under uncertainty.
- Demonstrated ability to define success metrics, decompose ambiguous product problems, and deliver clear, opinionated recommendations to Product and Engineering partners.
- Excellent written and verbal communication skills; able to tailor complex analyses for both technical and non-technical audiences.
- Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Economics, Engineering) or equivalent practical experience.
- Comfort using modern AI tooling (e.g., Claude, code assistants, PromptQL) to accelerate analysis, experimentation, and communication while exercising strong judgment on quality and reliability.
Preferred Qualifications
- Experience in search relevance, ranking, recommendations, personalization, or information retrieval (e.g., e-commerce or marketplace search).
- Familiarity with NLP, embeddings, and semantic search, including how to evaluate and iterate on these techniques in production.
- Experience bridging offline evaluation metrics (e.g., NDCG, precision/recall, human evaluation) with online experiments and business outcomes.
- Background in causal inference beyond standard A/B tests (e.g., holdouts, diff-in-diff, quasi-experiments) to measure long-term or cross-surface effects.
- Comfort working across web and native app surfaces, navigating tradeoffs between relevance, monetization, and latency.
- Proven impact improving logging, instrumentation, and metric definitions in complex data environments.
Roles similares
Mantén una lista de respaldo.
Stack
Usa estas tags para comparar roles remotos similares.
Elegibilidad de ubicación
Candidatos deberían aplicar solo cuando el país del perfil aparece aquí.
Tu perfilPaís no definidoInicia sesión para comparar tu país con este rol.
Flujo de contratación
WithMira muestra el rol y luego envía candidatos a la aplicación de la empresa.
1Revisa fit del rol, stack y elegibilidad de ubicación en WithMira.
2Abre la página de aplicación de la empresa desde el link rastreado.
3Guarda el rol o suscríbete a oportunidades similares antes de salir.