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Data Analyst (AI)

80 000 - 120 000$
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
middle
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 Analyst (Ecommerce): Analyzing ranking performance of machine learning models across e-commerce platforms with an accent on A/B testing and experimentation to quantify business impact. Focus on understanding shopper behavior, designing and validating metrics, and driving data-informed decisions.

Location: Fully remote, choose where you live. Must be available between 9:00–15:00 UTC.

Salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results

Company

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

What you will do

  • Analyze A/B tests across models, configurations, and customer segments to quantify business impact and guide ML development.
  • Investigate how ranking changes affect user behavior and conversion metrics using SQL, Python, and Spark.
  • Define new metrics to measure search relevance, personalization, and model performance and ensure metrics align with user experience and business goals.
  • Build scalable dashboards and reporting tools for product, engineering, and leadership teams.
  • Partner cross-functionally to design experiments, validate hypotheses, and communicate insights that directly influence product roadmap and ML strategy.

Requirements

  • 3+ years analyzing complex experiments and extracting actionable insights from large, noisy datasets with experience in statistical testing and practical experiment design.
  • Write optimized SQL queries for terabyte-scale data extraction and transformation and demonstrate proficiency with distributed systems like Spark.
  • Strong skills in Python for exploratory analysis, custom metrics development, and building internal tools.
  • Understanding of ML pipelines, training data quality, and ranking/recommendation metrics with familiarity with search relevance and personalization concepts.
  • Design metrics that accurately reflect model and product performance.
  • Time Zone Availability: Must be available between 9:00–15:00 UTC.

Culture & Benefits

  • Unlimited vacation time with a strong encouragement to take at least 3 weeks per year.
  • Work from home stipend to set up your home office.
  • Training and development budget refreshed each year.
  • Work with smart people who will help you grow and make a meaningful impact.
  • Stock options offered in addition to the base salary.
  • Regular team offsites to connect and collaborate.

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