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54 минуты назад

Senior Analyst, Search and Recommendations (E-commerce)

88 400 - 132 600$
Формат работы
onsite
Тип работы
fulltime
Грейд
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
Senior Analyst, Search and Recommendations (E-commerce): Analyzing large-scale behavioral data and statistical experiments to improve search algorithms, recommender systems, and digital shopping experiences with an accent on SQL, Python, experimentation, and model performance measurement. Focus on designing A/B tests, connecting ML metrics to business outcomes, building reporting dashboards, and translating complex findings for product and executive stakeholders.

Location: Richmond, Virginia; onsite at the hirify.global Technology Innovation Center 4 days per week. Applicants must be currently authorized to work full-time in the United States; visa sponsorship is not available.

Annual salary: $88,400–$132,600, with possible bonus and equity eligibility.

Company

hirify.global operates a used-vehicle retail and wholesale business with digital shopping products serving millions of customers across web and mobile.

What you will do

  • Analyze large-scale behavioral data, including search queries, click-through rates, purchase patterns, and inventory turnover.
  • Design, execute, and interpret A/B tests, holdout experiments, and pre/post analyses for algorithm and feature changes.
  • Partner with data scientists on model development, validation, and ongoing monitoring.
  • Connect model performance metrics with business outcomes and product decisions.
  • Build and maintain dashboards and reporting for key metrics.
  • Collaborate with Product, Strategy, Technology, and Operations teams and communicate findings to technical and non-technical stakeholders.

Requirements

  • 3+ years of experience in an analytical role, preferably in e-commerce, marketplace, or another data-rich environment.
  • Strong SQL skills and experience with Python for data manipulation and analysis.
  • Knowledge of hypothesis testing, confidence intervals, and experimental design.
  • Experience with large datasets and tools such as Spark or Databricks is preferred.
  • Ability to build and maintain reports in BI tools such as Tableau, Power BI, or Looker.
  • Bachelor’s degree in statistics, economics, mathematics, engineering, or a similar quantitative field.

Culture & Benefits

  • Work alongside data scientists and ML engineers on search and recommendation systems.
  • Full-time associates receive paid sick, vacation, and holiday time subject to company policies.
  • Full-time salaried associates receive paid time away as needed, subject to manager approval.
  • The role partners with diverse teams across the retail and wholesale businesses.

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