Digital Marketing Data Scientist

Digital Marketing Data Scientist focuses on maintain advanced marketing measurement methodologies including marketing mix modeling (mmm), incrementality testing, and causal inference frameworks.

What the role involves

• Maintain advanced marketing measurement methodologies including Marketing Mix Modeling (MMM), incrementality testing, and causal inference frameworks.
• Supporting measurement of product-led growth signals including software adoption, engagement, retention, and lifecycle marketing performance.
• Build predictive models to forecast marketing performance across paid and organic channels.
• Develop analytical models supporting budget allocation, media mix optimization, and marketing ROI forecasting.
• Design and implement experimentation methodologies to evaluate marketing initiatives.
• Develop frameworks identifying performance trends across paid, organic, and earned.

Skills and requirements

• 6–8 years experience in marketing analytics, marketing science, data science, or quantitative marketing roles.
• Experience working with large marketing and product datasets.
• Strong programming skills (Python, R, SQL or equivalent).
• Experience working with data warehouses and BI platforms (Snowflake, Tableau or equivalent).

Confirmed role details

• Marketing Effectiveness Lead will advance Logitech’s marketing science capabilities within the Digital Marketing Center of Excellence (COE).

Candidate fit

• commercial awareness, analytical judgement, clear reporting, and confidence turning insight into action