Senior Data Scientist
Senior Data Scientist - Marketing Mix Modelling (MMM), A/B Tests, Causal Inference
Are you an experienced Senior Data Scientist looking to make an impact in marketing analytics and optimisation? Join our cross-functional team to help develop and implement Marketing Mix Models (MMM), multi-touch attribution (MTA) and incrementality experiments that maximise the effectiveness of advertising investments.
Your Key Responsibilities:
• Develop and execute Marketing Mix Models (MMM) to measure the impact of various advertising channels.
• Design and run incrementality experiments (e.g., A/B tests, geo-experiments, synthetic control methods).
• Build optimisation models to allocate marketing budgets and maximise incremental ROI.
• Apply causal inference techniques (e.g., uplift modelling, Bayesian methods) to distinguish ad-driven growth from organic sales.
• Collaborate with cross-functional teams to turn data insights into actionable business strategies.
• Communicate complex findings to both technical and non-technical stakeholders effectively.
Reach out if you have some of this experience:
• Circa 5+ years of experience in data science, econometrics, or marketing analytics.
• Strong expertise in Marketing Mix Modelling (MMM) and media attribution models.
• Proficiency in Python, R, and causal inference techniques.
• Experience in experimental design, including A/B testing and incrementality testing.
• Experience in ad tech, media agencies, or digital marketing analytics is a plus.
Ready to help shape the future of data-driven marketing decision-making? Apply now
Senior Data Scientist - Marketing Mix Modelling (MMM), A/B Tests, Causal Inference
Are you an experienced Senior Data Scientist looking to make an impact in marketing analytics and optimisation? Join our cross-functional team to help develop and implement Marketing Mix Models (MMM), multi-touch attribution (MTA) and incrementality experiments that maximise the effectiveness of advertising investments.
Your Key Responsibilities:
• Develop and execute Marketing Mix Models (MMM) to measure the impact of various advertising channels.
• Design and run incrementality experiments (e.g., A/B tests, geo-experiments, synthetic control methods).
• Build optimisation models to allocate marketing budgets and maximise incremental ROI.
• Apply causal inference techniques (e.g., uplift modelling, Bayesian methods) to distinguish ad-driven growth from organic sales.
• Collaborate with cross-functional teams to turn data insights into actionable business strategies.
• Communicate complex findings to both technical and non-technical stakeholders effectively.
Reach out if you have some of this experience:
• Circa 5+ years of experience in data science, econometrics, or marketing analytics.
• Strong expertise in Marketing Mix Modelling (MMM) and media attribution models.
• Proficiency in Python, R, and causal inference techniques.
• Experience in experimental design, including A/B testing and incrementality testing.
• Experience in ad tech, media agencies, or digital marketing analytics is a plus.
Ready to help shape the future of data-driven marketing decision-making? Apply now
