Назад
22 часа назад

Senior Data Analyst (AI)

7 500 - 10 000$
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
RUВакансия из Hirify RU, списка российских tech-компаний

Мэтч & Сопровод

Покажет вашу совместимость и напишет письмо

Описание вакансии

Текст:
/
TL;DR
Senior Data Analyst (AI): Analyzing user behavior, large-scale datasets, and product experiments for an e-commerce search and discovery platform with an accent on SQL, Python, A/B testing, and machine learning data quality. Focus on defining product metrics, evaluating ranking and recommendation changes, building analytical tools, and translating insights into improvements across high-scale AI products.

Location: Fully remote; choose where you live. The role is intended for specialists who have already relocated from Russia or Belarus.

Salary: $7,500–$10,000 per month before taxes; base salary of $80,000–$120,000 USD per year, plus stock options.

Company

Constructor builds an AI-powered search and discovery platform for e-commerce, including search, recommendations, personalization, shopping agents, and retail media solutions.

What you will do

  • Analyze user behavior and large-scale datasets to identify patterns, issues, and product opportunities.
  • Design, run, and evaluate A/B tests against key business metrics.
  • Define and validate metrics covering user experience and business outcomes.
  • Build dashboards, reports, and data tools for decision-making across teams.
  • Collaborate with customers, engineers, data scientists, product managers, and business stakeholders.
  • Use SQL, Python, and distributed data systems to process and analyze large data volumes.

Requirements

  • Strong analytical skills and experience solving business problems with data.
  • Solid SQL knowledge and experience working with large datasets.
  • Python experience for data analysis, including pandas, NumPy, and visualization libraries.
  • Understanding of A/B testing and statistical concepts.
  • Understanding of machine learning pipelines, training data quality, and model evaluation.
  • Ability to communicate insights clearly and translate business needs into analytical solutions.

Nice to have

  • Experience with ranking, recommendations, or search relevance.
  • Experience defining metrics, building metric trees, and analyzing product funnels.
  • Customer-facing experience.
  • Experience in e-commerce or product analytics.

Culture & Benefits

  • Fully remote work with the ability to choose where to live.
  • Regular team offsite events.
  • Unlimited vacation, with at least three weeks per year encouraged.
  • Work-from-home stipend and Apple laptop for new employees.
  • Annual training and development budget.
  • Maternity and paternity leave for qualified employees.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →