Digital Marketing Data Scientist; COE

Position: Digital Marketing Data Scientist (COE)
Location: Greater London

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…