Digital Marketing Data Scientist (COE)

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way. Hybrid role - 2 to 3 days a week on site.

Role Purpose

The Digital Marketing Data Scientist / Marketing Effectiveness Lead will advance Logitech’s marketing science capabilities within the Digital Marketing Center 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 organization 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

• 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 optimization, 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 programs, 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. Analyze 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 modeling.
• 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 organization.

Profile & Requirements

• 6–8 years experience in marketing analytics, marketing science, data science, or quantitative marketing roles.
• Strong expertise in marketing effectiveness measurement (MMM, incrementality testing, attribution modeling).
• Experience working with large marketing and product datasets.
• Strong programming skills (Python, R, SQL or equivalent).
• Familiarity with digital marketing ecosystems including paid media platforms, organic marketing channels, creators ecosystems, and product analytics tools.
• Experience working with data warehouses and BI platforms (Snowflake, Tableau or equivalent).
• Ability to translate advanced analytical models into clear and actionable business recommendations.
• Comfortable working in a global, cross-functional environment spanning marketing, analytics, and technology teams.

Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Logitech is a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!

We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we can all create, achieve and enjoy more and support our families.

All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at +1-510-713-4866 for assistance and we will get back to you as soon as possible.