pythonsqldata visualizationstatisticsretlmachine learninga b testingdata analytics
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$124к-183к/год
$150к$190кмедиана$220к
По похожим ролям (47) ~ $190к/год
На СНГ рынке: $3.9к/мес ($3.6к - $4.4к)
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Хорошая вакансия
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В Company hidden понятная аналитическая роль, хорошие льготы и сильная продуктовая среда, но указанная оплата ниже рыночного ориентира, а вакансия объединяет несколько уровней и команд.
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Ниже рынкаНесколько направленийСовременный стекХорошие льготыПродуктовая компания
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist / Senior Data Scientist (Analytics/SQL/Python): Building full-cycle analytics experiments, reports, and executive-facing dashboards to guide marketplace, product, and business decisions with an accent on statistical analysis, experimentation, and large-scale data interpretation. Focus on identifying growth and operational levers, modeling user and marketplace behavior, solving ambiguous problems, and mentoring analysts.
Location: San Francisco, Seattle, New York, Los Angeles, Chicago, Austin, Washington D.C., or Australia
Base salary: $124,100–$182,500, $152,000–$223,500, or $184,300–$271,000 USD annually, depending on level, location, and qualifications.
Company
hirify.global operates a marketplace platform connecting consumers, merchants, and delivery providers across multiple operational and international data science areas.
What you will do
Use quantitative analysis and data presentation to guide business and product decisions.
Build full-cycle analytics experiments, reports, dashboards, and executive-facing metrics tracking.
Analyze customer acquisition, fraud, marketing, supply and demand, marketplace efficiency, user behavior, and new city launches.
Apply hypothesis testing, regression, cohort, funnel, segmentation, and time-series analyses to validate recommendations.
Collaborate with engineering to implement, document, validate, and monitor logging.
Mentor junior analysts and support structured, data-driven problem solving.
Requirements
Degree in mathematics, physics, statistics, economics, computer science, or a related field.
2+ years of experience in data analytics, consulting, or a related role.
Experience with funnel optimization, user segmentation, cohort analysis, time-series analysis, and regression models.
Expertise in SQL, ETL, A/B testing, statistical analysis, experimentation, and regression methods.
Proficiency in Python, R, Matlab, SAS, or comparable statistical tools, plus an analytics or visualization tool such as Looker or Tableau.
Ability to solve ambiguous problems using a structured, hypothesis-driven, data-supported approach.
Culture & Benefits
Regular employees receive medical, dental, and vision benefits.
Benefits include a 401(k) plan with employer matching, paid parental leave, paid time off, paid sick leave, and paid holidays.
Additional support includes wellness, commuter benefits matching, disability and life insurance, family-forming assistance, and mental health programs.
Compensation may also include equity grants.
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