Назад
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3 дня назад

Product/Ops Data Scientist

115 000 - 1 450 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Product/Ops Data Scientist (E-commerce/Machine Learning): Improving a global musical-instrument marketplace through product analytics, applied machine learning, and operational analysis with an accent on experimentation, causal methods, and production model ownership. Focus on building high-signal training datasets, evaluating model performance, measuring product impact, and enabling LLM-assisted analysis.

Location: Hybrid in Chicago, Illinois; Tuesdays are required in the office, with frequent Analytics team collaboration on Wednesdays and Thursdays. Remote-eligible roles are available only within the United States, excluding Alaska and Hawaii.

Expected starting base pay: $115,000–$1,450,000 annually, plus a 10% bonus target.

Company

Online marketplace for buying and selling new, used, and vintage musical instruments, supported by musician-focused commerce tools, content, transparent pricing, and customer service.

What you will do

  • Advise Product and Customer Support Operations teams through exploratory analysis and root-cause investigations.
  • Translate ambiguous product and operational questions into hypotheses, analyses, and roadmap recommendations.
  • Estimate and measure product impact using A/B testing, pre/post analysis, difference-in-differences, and causal impact methods.
  • Build, maintain, retrain, and evaluate production machine learning models.
  • Create high-signal training datasets and communicate model tradeoffs in business terms.
  • Develop core metrics, dashboards, self-serve reporting, and LLM-assisted analysis.

Requirements

  • 3+ years of applied experience in product analytics or data science, partnering with Product or Operations teams at a product or technology company.
  • Experience in e-commerce, B2C, or marketplace businesses is strongly preferred.
  • Track record of influencing product and operational decisions through stakeholder partnership and hypothesis-driven analysis.
  • Hands-on experience building, evaluating, and maintaining business-focused machine learning models and clean, high-signal data.
  • Strong proficiency in Python and SQL, plus experience with BI tools such as Looker or Amplitude.
  • Working knowledge of experimentation and causal methods, including A/B testing, difference-in-differences, propensity score matching, and causal impact.

Culture & Benefits

  • Hybrid collaboration with a regular all-company office day and flexible additional office participation.
  • Company-paid medical, dental, and vision premiums for eligible employees and dependents.
  • 401(k) matching, paid time off, paid holidays, and a paid sabbatical program.
  • Professional development through mentoring, coaching, and learning platforms.
  • 18 weeks of gender-neutral parental leave and up to $25,000 in adoption or surrogacy expense reimbursement.
  • Annual work/life stipend and paid volunteer time off.

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