Senior Applied Scientist - Marketing

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Overview We are looking for a Senior Applied Scientist, with expertise in causal inference and statistics, to join our cross-functional Marketing Effectiveness team. The role sits within the Applied Science domain, powering ASOS's digital ecosystem from recommender systems to forecasting models. The team collaborates with retail, marketing and technology divisions to understand, measure and optimise marketing spend using techniques such as incrementality testing and media mix modelling. Key Responsibilities
Drive the technical development and improvements of our geo-experimentation product used to model incremental uplift of ASOS' digital spend, and our media mix modelling capability that supports long-term media planning. Stay up to date with relevant state-of-the-art research, participate in reading groups, and publish novel prototypes for the business at top conferences when appropriate. Continuously develop and improve our code and technology, contributing to the conception of brand-new features for millions of global customers. Mentor and coach junior team members, supporting their technical progress. Participate in regular Tech Develops days, internal and external hackathons, and share knowledge to drive improvements in science and engineering. Champion Diversity, Equity & Inclusion strategies and support our culture.
Qualifications
Experienced Applied Scientist with hands-on experience in causal inference techniques; ideally with geo-experimentation frameworks and/or MMM models used to measure digital media impact. Knowledge or experience of working in retail, marketing, or ecommerce; able to thrive in a cross-functional platform with scientists, engineers, and non-technical stakeholders. Proficient in Python; familiar with at least one deep learning framework (TensorFlow/Keras or PyTorch); able to take ideas and prototypes through to products and applications. Strong understanding of software development lifecycles and engineering practices, with solid ML and statistics knowledge. Ability to provide technical leadership, mentoring and coaching to a motivated development team. Publications in top-tier ML conferences or journals (e.g., NeurIPS, ICLR, ICML, KDD, CVPR, ICCV, ECCV, ACL, EMNLP) or active interest in staying up to date with state-of-the-art research.
Benefits
Employee discount (ASOS discount) ASOS Develops (personal development opportunities across the business) Employee sample sales Access to a wide range of LinkedIn learning materials 25 days paid annual leave + an additional celebration day Discretionary bonus scheme Private medical care scheme Flexible benefits allowance - choose additional cash or other benefits
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Location:
City Of Westminster, England, United Kingdom
Job Type:
FullTime

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