Marketing Data Scientist, Croud

• You are a highly analytical individual with a strong foundation in marketing data science and a passion for problem-solving
• You thrive in a fast-growing company, enjoy working directly with clients, and seek continuous learning opportunities
• You possess both the technical expertise and the communication skills necessary to translate complex analytical insights into actionable strategies
• Advanced quantitative degree (Master’s or PhD) in a relevant field or extensive experience in data science/machine learning
• Proven experience in applied machine learning for marketing in a professional setting
• Proficiency in Python and related ML libraries
• Strong statistical knowledge and understanding of marketing measurement methodologies
• Familiarity with MMM, MTA, incrementality testing, and propensity modelling
• Experience with Google Analytics, marketing platforms, and digital marketing concepts
• Ability to communicate complex marketing data science insights effectively
• Strong client service skills, including managing expectations and translating data insights for business stakeholders
• Excellent time management and ability to work autonomously

Desirable

• As a Marketing Data Scientist, you will collaborate with Croud’s largest clients to implement and refine proprietary analytics solutions - such as our ML-based attribution platform, AttributionGeni - to maximise the impact of their marketing data
• This role involves working closely with both clients and internal cross-functional teams to develop and execute data-driven marketing strategies
• This is a great opportunity to develop expertise in marketing data science while working on high-impact projects alongside industry-leading experts. If you’re passionate about leveraging data science to drive marketing success, we’d love to hear from you
• Enhance and implement marketing measurement models, including MediaGeni MMM and AttributionGeni MTA
• Apply predictive modelling techniques to client data, focusing on marketing, website interactions, and online conversions
• Improve and refine existing methodologies, including first-party ML models for click attribution, cookieless econometric approaches for impression modelling, and campaign-level ROI recommendations
• Collaborate with internal teams to develop scalable marketing analytics solutions
• Communicate complex marketing data science concepts clearly to both technical and non-technical stakeholders
• Interface with clients to ensure the availability and accuracy of marketing data inputs
• Conduct marketing data exploration, model estimation, and validation
• Develop insightful visualisations, metrics, and reports for data-driven decision-making
• Write clean, efficient, and well-documented code using Python, SQL, and related tools
• Engage with both technical and commercial teams to optimise marketing measurement strategies
• Work with data engineers to ensure scalable deployment of algorithms
• Understand and apply methodologies across MMM, MTA, and incrementality testing to support client objectives
• Standard hours are from 9.00am to 5.30pm, there’s flexibility if agreed in advance with your line managers (it may also be necessary on occasions to work outside of these hours)