About the role

As a Lead Machine Learning Scientist for Growth Marketing, you will partner with Product Management and key stakeholders, to identify opportunities and define the scientific direction for all our marketing and media optimisation algorithms. You have strong commercial acumen as well as a passion for scientific research. This is a hands-on role as well as a leadership role.

You lead across multiple cross-functional teams which are focussed on using machine learning to build predictive and prescriptive capabilities that deliver improvements in customer growth. You’ll develop industry leading geo-experimentation capabilities that help to plan and measure media investment. We passionately believe that cross-functional working is the key to any successful ML production system. The whole team is responsible for the end-to-end system, and we are all accountable for making sure it performs in production, at the scale at which ASOS operates.

Your team will be setting up and conducting large-scale experiments to test hypotheses and drive product development, and you will be expected to both conduct these yourself, as well as mentor those in your team conducting these. As a lead, you will need to keep up to date with relevant state-of-the-art research, taking part and supporting reading groups alongside other scientists, with the opportunity to publish novel prototypes for the business at top research conferences.

At ASOS, as an online only retailer, we have unique datasets – transactions and click streams for millions of customers and photos, videos, and text descriptions of hundreds of thousands of products.

About You

You are a highly experienced Machine Learning Scientist, who leads the design and delivery of Machine Learning capabilities, applying state of the art machine learning methods to solve complex business problems. You have knowledge of the marketing and advertising domains and the relevant applied ML applications. You have a strong engineering mindset and good knowledge of software engineering principles, agile methodologies, data engineering, distributed systems and ML at scale.

You have a broad and deep understanding of machine learning theory and data science. You are adept at exploring and defining the problem space and building ML models, choosing the appropriate ML technique for the problem, and defining well thought-out pragmatic solutions.

You thrive in supporting a cross-functional team, including scientists, engineers, and non-technical stakeholders. You are approachable, collaborative and you actively nurture a diverse and inclusive workplace.

You are a person that is experienced working in a Cloud native Python Software stack and enjoys building production ready ML applications. You have experience working with data from multiple sources, involving complex/high - dimensional data (e.g. image, clickstreams, text, video, speech, time series). You are comfortable leading a team through the machine learning development lifecycle, establishing excellent engineering and ML Ops practices.

You are experienced and love to mentor across your team in an open, respectful, flexible, empathic manner and you foster a culture of feedback. You are confident working and collaborating with other scientists, understanding how to partner on research and solve complex problems.

You actively innovate, encouraging innovation within your team and you are not afraid to take calculated risks to deliver maximum impact. You have effective communication skills and can facilitate discussions across teams and with business stakeholders. You excel at explaining complex data science concepts to non-technical audiences.

You will have a proven track record of delivering Data Science Products that impact business performance. You get satisfaction from seeing your algorithms shipped and driving measurable impact to the business.

What can we offer you?

· Competitive salary, pension, and private medical care scheme

· Performance related bonus

· Flex benefits allowance - which you can chose to take as extra cash, or use towards other benefits

· 25 days paid annual leave + an extra day for your birthday

· Employee discount (excellent savings off ASOS items across our full range)

· Develop your scientific skills and attend applied research conferences

· Opportunity to represent ASOS at industry leading events

· Opportunity to help shape and drive our DE&I initiatives in Tech (like our WIT movement and Diversity mentoring in Tech)

· Opportunity to make an impact from day one and work with the latest in cutting edge of technology

We are equal! We’re committed to creating an inclusive workforce. We believe in a world where you have the freedom to explore and express yourself without judgement, no matter who you are or where you’re from. Where you value yourself and feel proud of who you are. Where individuality is a source of confidence, because difference makes the world a better place.