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1 день назад

Data Scientist (AI, E-Commerce)

80 000 - 120 000$
Формат работы
remote (Global)
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 (AI, E-Commerce): Shaping AI-powered shopping agents, from intelligent search to personalized product assistance, with an accent on driving product strategy and defining success metrics. Focus on uncovering actionable insights from user behavior and validating changes through A/B testing.

Location: Fully remote

Salary: $80k - $120k USD

Company

hirify.global is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit.

What you will do

  • Drive product strategy by uncovering actionable insights from user behavior and validating changes through A/B testing
  • Define, monitor, and visualize key performance indicators (KPIs) through dashboards for all levels of the company
  • Collaborate with cross-functional partners in engineering, product management, design, and user research
  • Build and maintain clean, reliable data tables to improve analytical efficiency and democratize data access for the entire team

Requirements

  • You have 3+ years of experience in data science or a similar analytical role, with a proven track record of thriving in fast-paced, consumer-focused environments
  • A proactive and autonomous self-starter, you excel at navigating ambiguity and taking full ownership of complex projects from start to finish
  • An excellent communicator, you can effectively translate business needs into technical requirements and vice-versa

Nice to have

  • Previous experience as a data scientist in a startup or e-commerce environment
  • Expert-level SQL proficiency for complex data exploration and transformation
  • Hands-on experience with Python and PySpark for data analysis
  • Experience with data orchestration tools (e.g., Airflow, Dagster, Prefect)
  • Experience implementing data quality monitoring and testing frameworks

Culture & Benefits

  • Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
  • Fully remote team - choose where you live
  • Work from home stipend! We want you to have the resources you need to set up your home office
  • Training and development budget for every employee, refreshed each year
  • Maternity & Paternity leave for qualified employees

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