# Digital Marketing Data Scientist (COE)

**Company**: Logitech
**Location**: London
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: Competitive salary and benefits package
**Category**: Marketing
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q223127

**Apply**: https://logitech.wd5.myworkdayjobs.com/en-US/Logitech/job/London-United-Kingdom/Digital-Marketing-Data-Scientist--COE-_146001-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a99a1659-ead

## Description

The Digital Marketing Data Scientist / Marketing Effectiveness Lead will advance Logitech's marketing science capabilities within the Digital Marketing Centre of Excellence (COE). This role will focus on developing advanced measurement methodologies, predictive analytics, and marketing effectiveness models across Paid Media, Organic Channels, Social Media, Creators ecosystems, and Software Marketing initiatives.

Working closely with the Head of Digital Marketing Analytics, this role will help the organisation evolve from descriptive reporting toward causal measurement, experimentation, and AI-powered marketing insights, enabling more effective marketing investment decisions across paid media and organic growth channels.

Key responsibilities include:

Marketing Effectiveness & Attribution Modeling: Develop and maintain advanced marketing measurement methodologies including Marketing Mix Modeling (MMM), incrementality testing, and causal inference frameworks. Build attribution models capturing the combined impact of paid media, organic marketing channels, creators ecosystems, and software growth initiatives. Support measurement of product-led growth signals including software adoption, engagement, retention, and lifecycle marketing performance.

Advanced Analytics & Predictive Modeling: Build predictive models to forecast marketing performance across paid and organic channels. Identify key drivers of marketing performance across search, social, creators ecosystems, SEO, and software adoption signals. Develop analytical models supporting budget allocation, media mix optimisation, and marketing ROI forecasting.

Experimentation & Testing Frameworks: Design and implement experimentation methodologies to evaluate marketing initiatives. Partner with Paid Media, Social Media, Creators, and Organic teams to run incrementality tests and controlled experiments. Establish best practices for testing creative formats, organic content strategies, creators programmes, and channel investment strategies.

AI-Driven Insights & Automation: Leverage machine learning and AI tools to automate insights generation and anomaly detection. Develop frameworks identifying performance trends across paid, organic, and earned. Support the evolution of AI-powered analytics capabilities within the COE.

Emerging Channel Measurement: Develop measurement models for AI discovery channels and generative search platforms. Analyse performance signals related to LLMO / AEO visibility and AI-generated traffic sources.

Data Integration & Analytics Infrastructure: Leverage the Marketing Data Hub (Snowflake), Adverity ETL infrastructure, and Tableau dashboards to build scalable analytics solutions. Integrate datasets spanning paid media platforms, organic channels, creators platforms, web analytics, and software marketing analytics. Partner with Ad Tech and Digital Office teams to ensure high-quality data pipelines supporting analytical modelling.

Strategic Insights & Collaboration: Translate advanced analytical findings into actionable insights for marketing leaders. Partner with Business Groups, Regions, and Product teams to guide marketing investment and growth strategies. Support the Head of Digital Marketing Analytics and COE team members in building a data-driven marketing culture across the organisation.

## Skills

### Required
- Marketing analytics
- Marketing science
- Data science
- Quantitative marketing
- Marketing mix modeling
- Incrementality testing
- Causal inference frameworks
- Attribution modeling
- Predictive modeling
- Budget allocation
- Media mix optimisation
- Marketing ROI forecasting
- Experimentation methodologies
- Machine learning
- AI tools
- Tableau
- Snowflake
- Adverity ETL infrastructure
- Web analytics
- Software marketing analytics

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Source: [Apply at logitech.wd5.myworkdayjobs.com](https://logitech.wd5.myworkdayjobs.com/en-US/Logitech/job/London-United-Kingdom/Digital-Marketing-Data-Scientist--COE-_146001-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)