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11 часов назад

Data Scientist 2/3, Storefront (E-commerce)

171 000 - 242 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Scientist 2/3 (Storefront/E-commerce): Developing real-time personalization, recommendation systems, and LLM-powered search engines for a DTC retail platform with an accent on conversion and user discovery. Focus on building automated ML pipelines, integrating Generative AI for query understanding, and optimizing relevance ranking for high-scale consumer traffic.

Location: Palo Alto, CA

Salary: $171,000 - $242,000 USD

Company

hirify.global is a tech-driven direct-to-consumer retail company focusing on high-quality, sustainable essentials through AI, analytics, and automation.

What you will do

  • Develop and refine ML models for near real-time personalization across app and site surfaces.
  • Build a natural language search engine from 0 to 1 using LLMs like Claude and GPT for semantic search.
  • Design and implement algorithms to drive daily customer engagement within the mobile app.
  • Create and deploy automated end-to-end modeling pipelines using Python and SQL.
  • Partner with Engineering to establish real-time tracking and performance monitoring frameworks.
  • Translate business targets into actionable data science solutions in collaboration with product squads.

Requirements

  • 5+ years of industry experience as a data scientist, preferably in e-commerce or high-scale consumer products.
  • MS or PhD in statistics, mathematics, computer science, or a highly quantitative field.
  • Exceptional proficiency in Python and SQL, with deep production knowledge of ML libraries.
  • Hands-on experience deploying production-grade Recommender Systems and Personalization pipelines.
  • Proven experience with Generative AI or LLM application workflows for query understanding.
  • Must be based in Palo Alto, CA.

Nice to have

  • Experience augmenting traditional NLP systems with LLMs for complex text parsing.
  • Familiarity with BI tools such as Looker or Tableau for model tracking.
  • Experience building data product specifications for distributed engineering teams.

Culture & Benefits

  • Mission-driven environment challenging traditional retail markups.
  • Commitment to sustainable materials, ethical production, and fair wages.
  • High-performing team culture for builders and innovators.
  • Inclusive workplace with a strong emphasis on equal opportunity and hiring integrity.

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