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5 дней назад

Data Scientist / Senior Data Scientist

124 100 - 182 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US/Australia
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 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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