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2 часа назад

Data Scientist III

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
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
Data Scientist III (Statistical Inference/Machine Learning): Building scalable data products and analytical solutions for marketplace efficiency, retention, and growth with an accent on causal modeling, experimentation, and production-grade Python and SQL. Focus on designing anomaly detection, prioritization, and recommendation systems, measuring business impact, and translating complex findings into decisions for stakeholders and executives.

Location: United Kingdom

Company

hirify.global builds a platform for intentional living, connecting people with fitness, wellness, and other real-world experiences through brands including Mindbody and ClassPass.

What you will do

  • Partner with Product, Marketing, Operations, and Finance to develop analytical solutions that improve marketplace dynamics, unit economics, retention, and growth.
  • Apply statistical inference, causal modeling, and experiment design to evaluate initiatives and guide decisions under uncertainty.
  • Design, prototype, and deploy scalable data products, including anomaly detection, prioritization, similarity, and recommendation models.
  • Build experimentation, measurement, monitoring, automated pipeline, and data-flow frameworks for analytics and machine learning at scale.
  • Communicate models and findings through actionable recommendations for business stakeholders and executives.
  • Mentor analysts and junior data scientists while balancing hands-on modeling, coding, automation, and strategic alignment.

Requirements

  • 3–5 years of experience in data science, applied statistics, or a related quantitative discipline, ideally in marketplace or platform businesses.
  • Strong expertise in statistical inference, causal modeling, and experiment design, including analysis of noisy or incomplete data.
  • Proficiency in Python and SQL, with experience building and deploying production-grade models.
  • Experience delivering data products such as anomaly detectors, ranking or prioritization models, and similarity or recommendation systems.
  • Familiarity with automated pipelines and data flows supporting machine learning and analytics at scale.
  • Ability to balance technical depth with business acumen and choose appropriately simple or complex solutions.
  • Strong communication and storytelling skills for influencing non-technical stakeholders and executives.
  • Comfort with ambiguity and a fast-paced environment focused on experimentation, iteration, and action.
  • Familiarity with data visualization and dashboarding tools such as Tableau, Looker, or Power BI.

Culture & Benefits

  • Collaborative work with Product, Marketing, Operations, and Finance teams.
  • Environment emphasizing experimentation, iteration, scientific rigor, reproducibility, and measurable business impact.
  • Internally competitive and externally collaborative culture.
  • Equal opportunity employer that encourages applications from people with diverse backgrounds, experiences, abilities, and perspectives.

Hiring process

  • Applications are encouraged even when the candidate is not fully certain of their fit.
  • Submitting an application includes consent to receive application-related emails, calls, and SMS, with opt-out available by texting STOP.

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