The RoleCore is Ireland's largest marketing communications company. Core’s Data Practice helps brands maximize the impact of their marketing investments through cutting-edge data science and analytics.As we continue to scale our advanced analytics capabilities, we are looking for aHead of Data Science - Marketing Measurement to lead and drive innovation in our marketing effectiveness practice. This role is both strategic and hands-on, requiring a leader who can develop best-in-class models while also building scalable tools that empower media planners and analysts across the organization.The RoleAs the Head of Data Science - Marketing Measurement, you will lead our marketing analytics function, developing and implementing advanced modelling techniques to measure and optimize media investment. You will be responsible for buildingMarketing Mix Models (MMM), lift experiments, discrete choice analysis, brand driver analysis, and other econometric and causal inference approaches.In addition to delivering high-impact analytics projects, you will buildapplications and tools (leveraging primarily R, RShiny, RStan) that enable automation and self-serve capabilities for media planners and analysts.You will collaborate closely with marketing strategists, data engineers, analysts, and business stakeholders to ensure that data-driven insights lead tobetter media allocation, higher ROI, and continuous innovation in marketing analytics.What You’ll Do1. Hands-on Model Development & DeliveryDevelop and implement Marketing Mix Models (MMM) to measure the effectiveness of media investments using a Bayesian modelling approach.Design and execute lift experiments to validate marketing strategies.Use discrete choice modelling and brand driver analysis to understand consumer behaviour and brand impact.Continuously innovate on modelling techniques, incorporating causal inference, Bayesian approaches, and machine learning where applicable.2. Build Scalable Data Science Tools & AppsDevelop RShiny applications that allow media planners and analysts to run advanced marketing models independently.Work with our Data Technology team to integrate predictive models into our Snowflake-based data platform using Python and Streamlit.Automate marketing measurement workflows to improve efficiency and scalability.Establish frameworks for monitoring and validating marketing models over time.3. Thought Leadership & InnovationStay at the forefront of marketing science, incorporating new methodologies, tools, and frameworks into our practice.Build a culture of experimentation and innovation, driving new ways to measure and optimize marketing.Translate complex analytical insights into clear, actionable recommendations for non-technical stakeholders.4. Team Development & Cross-Functional CollaborationAct as a subject matter expert, mentoring and upskilling analysts and media planners on advanced modelling techniques.Partner with marketing, analytics, engineering, and product teams to ensure seamless integration of models into decision-making processes.Collaborate with leadership to define and drive the long-term marketing data science strategy.If you’re passionate about marketing analytics, causal inference, and building innovative data science solutions, we’d love to hear from you!Your profileMust-Have Qualifications:10+ years of experience in data science, marketing analytics, or a related field, with a strong focus on marketing measurement.Expert in Marketing Mix Modelling (MMM), lift experiments, causal inference, discrete choice analysis, and econometric modelling.Strong programming skills in Rand experience building apps using RShiny. In addition, you will require experience in Bayesian modelling using RStan.Experience working with large-scale marketing data and integrating models into cloud-based environments (Snowflake preferred).Proven ability to deliver hands-on projects while also driving strategic innovation.Experience building data science tools and applications that empower non-technical users.Strong communication skills—able to translate complex concepts into actionable insights for executives and stakeholders.Nice-to-Have Qualifications:Experience with Snowflake (SQL) and Streamlit app development with Python.Previous experience in a media agency, ad-tech, or marketing analytics consultancy.Familiarity with deep learning, e.g. Keras / Tensorflow.Why us?Why Join Us?Flexible and hybrid working within the Republic of Ireland24/7 access to professional development through LinkedIn Learning along with career progression and mentoringThe opportunity to work across a huge range of clients within so many different categories from sport, retail, food and drink, to alcohol, insurance, banking and so much moreLead and shape the future of marketing measurement at a top media agency.Work on cutting-edge marketing science problems with real-world business impact.Build and deploy scalable data science tools that democratize advanced analytics.Collaborate with cross-functional teams of experts in media, marketing, and data science.21 days annual leave plus a day off on your birthday, company closure days at Christmas and early finish on bank holiday FridaysA company culture that promotes work-life balanceFamily-focused benefits including paid maternity and paternity leave as well as maternity phase back program, fertility treatment supports and paid pregnancy loss leaveAccess to mental health and well-being programs including paid health insurance for you and your dependents under 18Professional financial advice; employer contributory pension and life assuranceMake a difference by joining our D&I, CSR, Green, Social or Great Place to Work committees; you’ll get an extra days leave for your efforts.And lots more …OUR COMMITMENTSOur industry relies on creativity and innovation – these are skills that are not bound by gender, race, ethnicity, religion, sexual orientation, membership of the Traveller community, marital or family status, disability, age, socio-economic background, or any other attributes. Core is committed to diversity in its workplace and is proud to be an equal opportunity employer.We are also committed to providing reasonable accommodations to all applicants. If you need reasonable accommodation for any reason at any part of the interview process, please contact us and let us know the nature of your request and we will do our best to help.Salary Range€70,000 - 100,000 (dependent on experience)
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