Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятный фокус на data science, влиянии на бизнес и наставничестве, хотя в описании мало деталей о команде и повседневной работе.
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Актуальные технологииПонятные задачи
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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