Machine Learning Scientist, ASOS
6-Month Fixed Term Contract
+ Discretionary Bonus Scheme
2-3 days a week in office
Online fashion and cosmetic retailer
Job no longer available
Online fashion and cosmetic retailer
1001+ employees
Job no longer available
+ Discretionary Bonus Scheme
2-3 days a week in office
1001+ employees
Company mission
To be the world's number-one destination for fashion-loving 20-somethings.
Role
Who you are
- The ideal candidate will have a strong technical background and experience solving tough problems with large datasets. You will be a highly intelligent self-starter, able to work independently with a strong attention to detail
- An advanced degree in Computer Science, Physics, Mathematics or a similar quantitative subject - a Ph.D. is a bonus
- Experience in using machine learning methods to solve problems involving complex/high - dimensional data (e.g. image, click - streams, text, video, speech, time series) - This can either be through a distinguished academic career alongside relevant publications, or significant experience solving and productionising models within industry
- An understanding of the retail, marketing, and/or ecommerce industry
- Comfortable working in a Python data science tech stack (e.g. pandas, NumPy, Dask, scikit-learn, Keras, PySpark, PyTorch). Additional knowledge of Scala is desirable
- Experience accessing and combining data from multiple sources and building data pipelines, including a good knowledge of SQL
- Understanding of software development lifecycles and engineering practices (Data pipelines, API workflows, CI/CD deployments) alongside ML (DataOps, MLOps)
- A solid understanding of statistics (hypothesis testing, regressions, random variables, inference)
- The ability to work collaboratively and proactively in a fast-paced environment alongside both scientists, engineers and non-technical stakeholders
- A 'hackers' mentality, comfortable using open source technologies
What the job involves
- We are looking for a Machine Learning Scientist 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 engineers and fellow scientists to solve and productionise interesting and difficult problems and leveraging cutting edge technology
- 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
- Working in cross functional team, alongside engineers, business analysts and non-technical stakeholders, creating new and improving internal and external facing data products
- Driving the implementation and scale-up of algorithms for measurable impact across the business
- Setting up and conducting large-scale experiments to test hypotheses and drive product development
- Keeping up 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
- Supporting our culture by championing Diversity, Equity & Inclusion strategies
Salary benchmarks
Our take
Founded in 2000, ASOS initially meant 'AsSeenOnScreen' - the initial model being sales of imitations of clothing and accessories seen in movies. Now, the website sells over 850 brands, as well as its own ranges, and ships across the UK, US and EU. Priding itself on keeping up with the latest fashion trends, ASOS is aimed primarily at young people.
Since its foundation, ASOS has seen almost continuous growth. Whilst part of this comes from its ability to keep up with trends, much of its success has arisen from impressive use of digital marketing. Its mobile app, launched in 2018, has allowed it to expand across multiple online platforms.
It is well known that the fashion industry has been under huge pressure over the last few years. But ASOS' model has allowed it to dodge issues faced by competitors. ASOS' UK factories, for example, allow it to keep producing items which are up to date with trends; all whilst other brands must wait for international deliveries.
Over the last 20 years, ASOS has built itself into a fashion giant. The company appears to have the potential to emerge unscathed from the economic pressures currently affecting other players in the industry, and continue to capture value into the future.
Steph
Company Specialist at Welcome to the Jungle
Insights
-11% employee growth in 12 months
Company
Company benefits
- Health: Virtual GP, Cycle to Work, Gymflex, Eye Test, Dental Insurance, Healthcare Cash Plan, Health Screening, Private Medical Insurance.
- Wealth: Critical Illness Insurance, Debt Consolidation – Neyber, Gadget Insurance, Life Assurance, Pension, Season Ticket Loans, Travel Insurance, Taste Card, Technology Devices.
- Inner Self: Unmind app, Holiday Trading, Payroll Giving, Travel Account.
- You will receive an exclusive discount on all ASOS products for you and a friend……,(watch as they come flocking to be first in line!). Then you can treat yourself further, with great discounts on iPads, cinema tickets and spa vouchers.
- However you choose to travel to work, whether you cycle or jump on the train, we'll help you out with that too.
- Finally to thank you for everything you do in the year, we have a summer hours scheme where we finish at 3pm on Fridays. It’s the perfect chance at the end of a busy week to relax and have a drink on us. Yippee!
Company HQ
London, UK
Leadership
Nick Robertson
(CEO)Co-founded ASOS in 2000.
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