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Hire.Monster

Global Revenue Decision Science Manager

Company
New York, New York, US
ОфисФинансыЗападная Европа

Обязанности

  • As part of the Global Revenue Analytics and Insights team, you will lead the development of advanced decision science solutions that guide marketing investment decisions across global markets

Your primary focus will be building and scaling Company’s in-house advanced analytical models including Marketing Mix Modelling (MMM) media measurement capabilities, Price Elasticity, and forecasting optimize investment ROI and inform strategic planning You will own the end-to-end lifecycle of our advanced analytics solutions, from framing business questions, acquiring and engineering data, developing robust econometric and Bayesian models, deploying solutions, and translating insights into actionable recommendations for senior stakeholders

  • This role combines technical depth with strategic influence, requiring you to shape Company’s investment optimization approach and guide decisions at the highest level
  • Design, develop, and validate advanced analytical models to measure investment effectiveness and ROI across channels
  • Partner with marketing, finance, and strategy teams across all markets to translate model outputs into actionable investment decisions
  • Lead experimentation frameworks (e.g., geo-lift, holdouts) to validate assumptions and answer key business questions
  • Build scalable data pipelines and model infrastructure leveraging cloud technologies
  • Provide leadership and guidance to technical analytics teams, fostering best practices and innovation
  • Drive adoption of advanced analytics across markets
  • Communicate complex analytical concepts in a clear, business-focused manner to senior stakeholders

Stay ahead of industry trends in econometrics, Bayesian modelling, and marketing measurement

Требования

  • MSc or PhD in Statistics, Econometrics, Quantitative Marketing, or related field
  • 8+ years of experience in advanced analytical modelling, with at least 3 years in MMM / marketing or pricing analytics
  • 2+ years managing technical advanced analytics team
  • Proven ability to influence strategic decisions through advanced modelling
  • Expert in Python (Scikit-Learn, PyMC, NumPyro) and familiarity with R (Robyn, Prophet)
  • Strong SQL and cloud database skills (BigQuery, Redshift, Azure SQL)
  • Experience with data modelling tools (dbt) and front-end frameworks (Streamlit, Dash)

Excellent communication and stakeholder management skills

Опубликовано: 15.01.2026