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12 часов назад

Senior Applied Scientist (Researcher) – Pricing

Формат работы
remote (только United_kingdom)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Текст:
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TL;DR
Senior Applied Scientist (Researcher) – Pricing (Dynamic Pricing/Marketplace Optimization): Design and deploy feedback-driven pricing systems for a bid-based marketplace, balancing supply, demand, and business outcomes under uncertainty and delayed signals with an accent on elasticity modeling, causal inference, and real-time algorithms. Focus on designing A/B experiments, productionizing scalable models, and solving stability, feedback-effect, and long-term marketplace behavior challenges.

Location: United Kingdom; fully remote

Company

hirify.global is a global technology company operating a ride-hailing and broader mobility marketplace across 48 countries.

What you will do

  • Design and improve dynamic pricing policies, including elasticity and supply-and-demand response models.
  • Frame pricing as a feedback-driven decision system under uncertainty and delayed feedback.
  • Develop, test, and deploy real-time pricing algorithms for a bid-based marketplace.
  • Design and analyze A/B experiments to evaluate pricing impact.
  • Productionize models with engineering partners to ensure scalability and robustness.
  • Monitor stability, feedback effects, and long-term system behavior while contributing to optimization, control, and RL-inspired methodology.

Requirements

  • 3+ years of experience in data science, applied research, or algorithmic product optimization.
  • Strong background in statistics, optimization, and causal inference.
  • Ability to move from problem formulation to production-grade solutions.
  • Proficiency in Python and SQL, with experience in production machine learning systems.
  • Experience with marketplaces or pricing systems is preferred.

Nice to have

  • Experience with economic modeling, including elasticity, auctions, or policy design.
  • Familiarity with control systems, reinforcement learning, or online optimization.
  • Experience working with real-time, high-load systems.

Culture & Benefits

  • Mentoring, career consulting, and professional learning programs.
  • International collaboration and participation in the Global Talent Exchange Program.
  • Company-wide challenges, awards, sports activities, volunteering, and social-impact projects.
  • Language courses and internal speaking clubs.
  • Benefits may vary depending on location.

Hiring process

  • Application review.
  • Offer.
  • Hiring.

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