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4 часа назад

Data Scientist (AdTech, Gaming)

140 000 - 220 000GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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: Design and implement machine learning models for user recommendations and optimize incentive structures with an accent on gaming user acquisition, in-app ROAS, and scalable data-informed decision making. Focus on complex experimentation design, uplift modelling, and establishing technical best practices for data science.

Location: Hybrid in London

Salary: £140,000–£220,000

Company

hirify.global is a rapidly growing startup aiming to become Germany’s second bootstrapped unicorn, focusing on rewarding a community of over 60 million users for engaging with advertisers' products to acquire new users for large companies.

What you will do

  • Design and implement machine learning models to personalize recommendations for users, optimizing for performance, engagement, and conversion within gaming user acquisition.
  • Build and optimize incentive reward structures, focusing on motivating and retaining users while improving in-app ROAS.
  • Collaborate with data analytics and engineering to improve data structures, visibility, and traceability.
  • Establish technical best practices for the team, including documentation, data product ownership, measurement plans, and experimentation frameworks.
  • Define and help implement KPIs that align team output with business goals, ensuring every model, dashboard, and analysis has a clear purpose and outcome.
  • Mentor and support both data scientists and analytics engineers, driving high standards and helping the team scale effectively.

Requirements

  • Strong experience building and deploying machine learning models in a product-driven environment, ideally in Gaming, AdTech, gambling, or user-incentive systems.
  • Deep statistical and modelling knowledge for complex experimentation design, uplift modelling, and causal impact estimation of counterfactual outcomes.
  • Strong understanding of data engineering workflows and modern data stack tools (e.g., DBT, Airflow, K8s).
  • Proficiency in Python and SQL; experience with cloud platforms (GCP preferred) and Terraform.
  • Excellent communication and leadership skills, with the ability to drive clarity, create structure, and bring stakeholders on board.
  • English: B2 required

Culture & Benefits

  • Opportunity to have a real impact and grow alongside a profitable startup.
  • High-growth environment that encourages project ownership and raising the bar.
  • Generous bonus scheme to ensure great, proactive work is valued.
  • Commitment to fostering talent, evaluating all skill levels, and providing clear paths for growth.
  • Embrace and celebrate diversity as an equal opportunity employer.

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