Назад
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3 дня назад

Staff Data Scientist, Data Products

180 000 - 205 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
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
Staff Data Scientist, Data Products (Product Analytics/Data Science): Building measurement strategies, analytical products, and decision-support tools from product usage, compensation, workforce, and market data with an accent on statistical rigor, interpretability, privacy, and responsible data use. Focus on designing event schemas, validating analytical methodologies, productionizing data products, and leading complex cross-functional initiatives across product, engineering, privacy, legal, sales, and customer success.

Location: Remote home office in the United States. Fully remote model; compensation is geo-neutral within the US.

Salary: $180,000–$205,000 per year

Company

hirify.global provides a pay governance and compensation intelligence platform that helps organizations make fair, compliant, and data-driven pay decisions across the compensation lifecycle.

What you will do

  • Own measurement strategies for core product workflows, including offer endorsement, approval, and acceptance.
  • Design and validate event instrumentation, conduct product usage analyses, and build production-grade dashboards and self-serve reporting.
  • Develop analytical products using aggregated and anonymized first-party data alongside compensation market, job-posting, skills, and workforce data.
  • Build diagnostics for compensation governance, job architecture, policy-versus-practice gaps, strategic alignment, and overpayment risk.
  • Lead initiatives from discovery and hypothesis formation through analytical validation, productionization, commercialization, and launch.
  • Set standards for analytical quality, documentation, interpretability, data quality, privacy, and responsible data use while influencing cross-functional product decisions.

Requirements

  • Must be based in the United States and able to work remotely from a US home office.
  • 8+ years of experience in product analytics, data science, analytics engineering, or a related field supporting software products or analytical products.
  • Deep SQL proficiency and strong working proficiency with Python, R, or a comparable analytical language.
  • Advanced knowledge of statistical measurement, benchmarking, experimentation, data modeling, segmentation, data quality assessment, and analytical validation.
  • Experience designing event schemas, product measurement strategies, funnels, dashboards, and self-serve reporting with tools such as Mixpanel, Amplitude, Looker, or Tableau.
  • Ability to lead ambiguous cross-functional initiatives, influence senior stakeholders, and communicate complex methodologies clearly.

Nice to have

  • Experience evaluating GenAI-native products or model-assisted workflows.
  • Background in compensation, pay equity, workforce planning, labor-market data, job architecture, skills taxonomies, or people analytics.
  • Experience with privacy-preserving analytics, compensation surveys, third-party data licensing, or data governance.
  • Familiarity with GDPR, CCPA, natural-language interfaces, automated insights, semantic layers, and agentic workflows.

Culture & Benefits

  • Fully remote work model with a culture centered on candor, curiosity, community, inclusion, and collaboration.
  • Equity participation and flexible vacation policy.
  • Paid sick and safe time, compassion leave, voting leave, and paid parental leave.
  • Medical, dental, and vision coverage; hirify.global pays 90% of employee premiums and 50% for dependents.
  • Company-paid life insurance and disability coverage, plus a 401(k) plan.

Hiring process

  • 30-minute interview with a Talent Team member.
  • 45-minute interview with the Hiring Manager, followed by three video interviews with team members.
  • Final interviews with executives; supplemental information or an additional step may be requested.

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