22 часа назад
Senior Data Analyst (AI)
7 500 - 10 000$
RUВакансия из Hirify RU, списка российских tech-компаний
Мэтч & Сопровод
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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.
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