Job Description

DCE is a proprietary platform built to deliver effective, personalised communications at scale. It brings together an innovative approach to the ideation and development of dynamic creative, a tech platform to automate delivery and optimisation in social and programmatic platforms to deliver both effectiveness (more positive outcomes) and efficiency (positive outcomes that cost less).

Role

We're seeking a passionate Data Scientist to join our team andshape the future of Machine Learning & Generative AI applied to creative marketing technology. Leveraging expertise in MarTech and AdTech, you'll build high-quality datasets, power innovative models, and develop robust marketing analytics tools for our DCE platform, automating video delivery and optimization within programmatic demand side platforms.

Collaborate with the Product Owner to design and execute Proof of Concept tests advancing the functionality of the ecosystem. Utilise strong analytical and problem-solving skills to synthesize complex data, translate insights into actionable recommendations, and clearly communicate findings to diverse stakeholders.

Responsibilities include conducting experiments, developing models, and generating valuable insights to identify opportunities, evaluate marketing strategies, and drive business growth. We seek a candidate thriving in a fast-paced environment, passionate about innovation, and committed to delivering data-driven solutions.

Key tasks

Own end-to-end delivery of actionable model outputs, data products, and insights for the Dynamic Content Engine (DCE), involving data extraction, cleaning, preprocessing, and development of AI & machine learning algorithms. Automate data products and model outputs to enable DCE to consistently drive measurable results and effective insights at scale. Design, measure and refine campaign studies backed by data intelligence across multiple data sources and objectives.  Collaborate with stakeholders to share outputs and contribute to the design and delivery of new features leveraging models and data. Handle data imperfections and validate data integrity for modelling purposes. Report to the Head of Product, supporting the rollout of new data products and machine learning models, and transformation of data, reporting, and analytics. Utilise various programming paradigms (imperative, object-oriented, functional, declarative) and work in multi-threaded, concurrent, non-blocking, and event-based systems. Apply Software Design Patterns and Enterprise Architecture Patterns. Utilise continuous integration, version control systems, and cloud-based services (e.g., Windows Azure, Amazon AWS, Docker, Kubernetes). Employ rapid application development approaches and techniques for mission-critical solutions. Focus on delivering and optimizing projects on Facebook and Google's DV360. Report and present findings and developments clearly and efficiently, verbally and in writing. Support the core DCE development team on additional work streams.

Qualifications

Possess a bachelor’s or master’s degree (or equivalent) in Data Science, Computer Science, Mathematics, or a related quantitative field. Experience using SQL to extract data from internal databases and leverage Python for data acquisition from external sources (APIs/web scraping). Skilled in data visualization tools (e.g., Tableau) and creating clear, concise data summaries (e.g., PowerPoint) for diverse audiences, including senior leadership. Proficient in Python and familiar with machine learning frameworks. Possess an intermediate to advanced understanding of Artificial Intelligence and Machine Learning concepts. (Bonus: Deep understanding and hands-on experience with optimization, data mining, machine learning, deep learning, and computer vision analysis) Demonstrate strong analytical and quantitative abilities for effective data analysis and client presentations. Experience translating data insights into business value and a proactive approach to problem-solving. Possess excellent verbal, written, and interpersonal skills for clear communication across all levels. Thrive in a dynamic environment, manage multiple workstreams efficiently, and readily embrace new concepts. Be proficient in all MS Office applications with advanced Excel skills. (Bonus: Knowledge of authorization/authentication processing) Experience mining unstructured data and ingesting data from various sources (REST/SOAP frameworks). Professional experience in a data scientist or a related software engineering role. (Bonus: Experience creating business value from data and exposure to working in an insight delivery environment) Up to date with latest Generative AI research in the field to compliment and suggest better solutioning frameworks.