Machine Learning Product Owner - Data Science & AI

Machine Learning Product Owner - Data Science & AI

Machine Learning Product Owner - Data Science & AI

Job Overview

Location
London, England
Job Type
Full Time Job
Job ID
6901
Date Posted
9 months ago
Recruiter
Alice Lidze
Job Views
40

Job Description

  • ASOS is one of the UK’s top fashion and beauty destinations, expanding globally at a rapid pace. Our values are to be authentic, brave and creative, and we live and breathe these in everything we do.

    We believe fashion can make you look, feel and be your best and, with technology in our DNA, we deliver the latest trends to our digital-obsessed 20-something market. Our award-winning AI teams sit at the heart of our business. We deliver technical innovation and pioneer incredible solutions, which are crucial to our continued success. We’re extremely ambitious and thrive on the individuality of our amazing employees. Our values encompass everything needed for our tech people to be the thought leaders of tomorrow.

    Machine Learning Product Owner

    We are looking for Machine Learning Product Owners to join our team and play a key role in helping ASOS provide the best shopping experience to our millions of customers. The role offers broad exposure to ASOS, requiring close collaboration with retail, marketing and technology divisions. You will be part of a highly innovative AI platform working alongside data engineers, machine learning scientists and software developers to solve difficult problems using our rich datasets (transactions, customer interactions, product photos and videos) and cutting-edge AI technology.

    We believe the best Product people come from diverse backgrounds – their paths are as varied as the skills they have but they all share a common customer first, analytical and outcome-focused approach. They are an instrumental part of our autonomous cross-functional teams enabling high collaboration while delivering great data products for the business and its customers.

    What you will be doing:

    • Articulate the vision for the team in line with the company AI strategy, establish roadmaps for delivery and define key KPIs for measuring success

    • Engage actively with key stakeholders and develop an expert understanding of their problems, challenges and product opportunities

    • Assess the potential value of new initiatives and prioritise them in line with the platform Objectives and Key Results

    • Collaborate with machine learning scientists, engineers and architects to translate business problems into machine learning problems

    • Play an active role in the delivery of data products from hypothesis, model training, feature engineering, experiment design and results analysis to implementation and communication

    • Drive and prioritise the team product backlog, facilitate workshops and requirements gathering activities

    • Be part of our sizeable product owner community, consisting of 30+ product owners. You’ll be invited to community events, knowledge shares and meet-ups, all to support your product ownership development journey, ensuring you can be the very best version of yourself at ASOS. 

    We’d like to meet someone with:

    • Proven experience of managing an internal or customer-facing product from conception to go live through all stages of the development lifecycle

    • The ability to gather and prioritise business requirements and translate these into user stories and an actionable backlog

    • A broad understanding of machine learning techniques and algorithms

    • Fundamentals of statistics and experimentation frameworks

    • A strong knowledge of software development lifecycle

    • Experience in setting and executing on a product backlog, balancing innovation with short and long-term goals 

    • A strong problem-solving mindset, doing what it takes to solve the problem for the customer, internal or external

    • Excellent communication skills, able to adapt approach based on whom they’re interacting with

    • Experience in one or more e-commerce problem space (customer experience, digital marketing, pricing, supply chain optimisation, customer care optimisation)







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