Job Description
We are looking for a Senior Applied Scientist, with expertise in causal inference and statistics, to join our cross-functional Marketing Effectiveness team. Our Marketing Effectiveness team plays a key role helping ASOS provide the best shopping experience to millions of customers, using techniques such as incrementality testing and media mix modelling to understand, measure and optimise marketing spend. The role offers broad exposure to ASOS, requiring close collaboration with retail, marketing and technology divisions.
Details:
1. Driving 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.
2. You will be keeping up to date with relevant state-of-the-art research, taking part in reading groups alongside other scientists, with the opportunity to publish novel prototypes for the business at top conferences.
3. You will be continually developing and improving our code and technology, taking an active role in the conception of brand-new features for our millions of global customers.
4. You will be mentoring and coaching junior members of the team, supporting their technical progress.
We believe being together in person helps us move faster, connect more deeply, and achieve more as a team. That’s why our approach to working together includes spending at least 2 days a week in the office. It’s a rhythm that speeds up decision-making, helps ASOSers learn from each other more quickly, and builds the kind of culture where people can grow, create, and succeed.
Qualifications
About You
5. You are an experienced Applied Scientist with hands on experience of using causal inference techniques. Ideally with experience of developing geo-experimentation frameworks, and/or MMM models that have been used to measure the impact of digital media spend.
6. Will have some knowledge or experience of working in retail, marketing, or the ecommerce industry. You thrive in working in a cross-functional platform, including scientists, engineers, and non-technical stakeholders.
7. You are comfortable working in Python software stacks and familiar with at least one deep learning framework (such as TensorFlow/Keras and PyTorch) and enjoy going from ideas and prototypes into products and applications.
Additional Information
BeneFITS’
8. Employee discount (hello ASOS discount!)
9. ASOS Develops (personal development opportunities across the business)
10. Employee sample sales
11. Access to a huge range of LinkedIn learning materials
12. 25 days paid annual leave + an extra celebration day for a special moment
13. Discretionary bonus scheme
14. Private medical care scheme
15. Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits