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3 часа назад

Associate Director of Data Science (MLOps)

Формат работы
hybrid
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
UK
Релокация
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Associate Director of Data Science (MLOps): Leading a data science team while building predictive and machine learning models for Player Support, Marketing, Analytics, and Game Teams with an accent on production delivery, stakeholder collaboration, and team development. Focus on designing reliable deployment, monitoring, versioning, and retraining pipelines, and taking data science initiatives from exploration through live adoption.

Location: Cambridgeshire, United Kingdom; hybrid working with predominantly remote options, but applicants must be based or willing to relocate within a comfortable commuting distance of the office for onsite attendance.

Company

hirify.global is a game development company creating community-powered online worlds, including the RuneScape MMORPG franchise.

What you will do

  • Lead the data science team by setting direction, managing workload, and supporting professional development.
  • Build and own data science, predictive modelling, and machine learning models for commercial, product, and player-facing use cases.
  • Lead the exploration and delivery of new data science initiatives from ideation through production and adoption.
  • Own MLOps practices covering model deployment, monitoring, versioning, and retraining pipelines in collaboration with Data Engineering.
  • Partner with Player Support, Marketing, Analytics, and Game Teams as the day-to-day data science contact.
  • Coach data scientists on technical delivery, stakeholder management, and communication with senior non-technical audiences.

Requirements

  • Significant experience applying data science to complex commercial, product, or player-facing problems.
  • Strong practical knowledge of statistical methods, predictive modelling, machine learning, and model performance evaluation.
  • Hands-on production MLOps experience, including deployment, monitoring, versioning, and retraining.
  • Experience leading or mentoring data scientists, including coaching and workload management.
  • Track record of taking analytical or modelling work from exploration through to live, adopted use.
  • Strong stakeholder management, written communication, and verbal communication skills, including translating technical work into plain language.

Culture & Benefits

  • Flexible working hours and predominantly remote hybrid working with required onsite attendance.
  • Private healthcare, including a dental plan.
  • Minimum 6% pension contributions and life insurance.
  • Employee Assistance Programme and onsite counselling.
  • Discretionary annual performance bonus and enhanced family leave from day one.
  • 25 days of annual leave plus bank holidays, with the option to buy or sell holidays.

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