Global Revenue Decision Science Manager

Dyson GmbH; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A global technology company in Singapore seeks an experienced lead for advanced analytics in their Global Revenue Analytics team. The successful candidate will design and validate analytical models to inform investment decisions and leverage advanced data pipelines. Ideal candidates should possess a Master's or PhD, with over 8 years of experience in analytical modeling and strong skills in Python and SQL. This role offers the opportunity to influence strategic marketing decisions across global markets.

Qualifications

• 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 teams.
• Proven ability to influence strategic decisions through advanced modelling.

Responsibilities

• Design, develop, and validate advanced analytical models to measure investment effectiveness and ROI across channels.
• Partner with marketing, finance, and strategy teams to translate model outputs into actionable investment decisions.
• Lead experimentation frameworks to validate assumptions and answer key business questions.

Skills

Python (Scikit-Learn, PyMC, NumPyro)

Statistical analysis

Stakeholder management

SQL

Cloud database skills

Education

MSc or PhD in Statistics, Econometrics, Quantitative Marketing, or related field

Tools

BigQuery

Redshift

Azure SQL

dbt

Streamlit

Dash

Job description

Overview

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 to 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 teams.
• 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.