Global Revenue Decision Science Manager
Location: Singapore - St James Power Station Headquarters
Job Description
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 Dyson’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 Dyson’s investment optimization approach and guide decisions at the highest level.
Accountabilities
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.
About you
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
#LI-CY1
Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.
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