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For Companies At a Glance
- Tasks: Drive technical development in marketing effectiveness and mentor junior team members.
- Company: Join ASOS, the go-to online retailer for fashion enthusiasts worldwide.
- Benefits: Enjoy employee discounts, personal development opportunities, and flexible benefits.
- Why this job: Make a real impact on millions of customers while working with cutting-edge technology.
- Qualifications: Experience in causal inference, Python, and mentoring; retail or ecommerce background preferred.
- Other info: Participate in hackathons and contribute to a diverse and inclusive culture.
The predicted salary is between 36000 - 60000 £ per year.
Overview
We’re ASOS, the online retailer for fashion lovers all around the world. 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 helps 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 sits within the Applied Science domain, which is responsible for the algorithms that power the ASOS digital ecosystem, from Recommender Systems through to forecasting models that drive key operating decisions.
Key Responsibilities
- 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.
- You will keep up to date with relevant state-of-the-art research, participate in reading groups alongside other scientists, with the opportunity to publish novel prototypes for the business at top conferences.
- You will continually develop and improve our code and technology, taking an active role in the conception of brand-new features for our millions of global customers.
- You will mentor and coach junior members of the team, supporting their technical progress.
- You will take part in regular Tech Dev days to learn new things, participate in internal and external hackathons, and share knowledge to drive improvements in science and engineering.
- You will support our culture by championing Diversity, Equity & Inclusion strategies.
Qualifications
- You are an experienced Applied Scientist with hands-on experience using causal inference techniques, ideally with experience in developing geo-experimentation frameworks and/or MMM models used to measure the impact of digital media spend.
- You have some knowledge or experience of working in retail, marketing, or the ecommerce industry and thrive in cross-functional collaboration with scientists, engineers, and non-technical stakeholders.
- You are comfortable working in Python software stacks and familiar with at least one deep learning framework (TensorFlow/Keras, PyTorch).
- You have a solid understanding of software development lifecycles and engineering practices, alongside a good understanding of ML and statistics.
- You are comfortable providing technical leadership, mentoring, and coaching to a motivated development team.
- Publication experience in top-tier machine learning conferences or journals (e.g., NeurIPS, ICLR, ICML, KDD, CVPR, ICCV, ECCV, ACL, EMNLP) is a plus and staying up to date with state-of-the-art is valued.
Additional Information / 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 of paid annual leave plus an extra celebration day
- Discretionary bonus scheme
- Private medical care scheme
- Flexible benefits allowance
Details
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Information Technology
- Industries: Retail
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Senior Applied Scientist - Marketing employer: ASOS.com
Contact Detail:
ASOS.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied Scientist - Marketing
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at ASOS. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got projects or research that align with causal inference or media mix modelling, make sure to highlight them in conversations. Real-world examples speak volumes.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and deep learning frameworks. Be ready to discuss how you've used these in past roles, especially in retail or marketing contexts.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the ASOS team.
We think you need these skills to ace Senior Applied Scientist - Marketing
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Applied Scientist role. Highlight your experience with causal inference and any relevant projects you've worked on, especially those related to marketing effectiveness. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific examples of your work, particularly in geo-experimentation frameworks or media mix modelling. If you've published any research or presented at conferences, don’t forget to mention that! It shows us you're engaged with the latest in the field.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain your technical skills and experiences. We appreciate a well-structured application that makes it easy for us to see your qualifications.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at ASOS.com
✨Know Your Causal Inference Inside Out
Make sure you brush up on your causal inference techniques and be ready to discuss how you've applied them in real-world scenarios. ASOS is looking for someone who can drive improvements in their geo-experimentation product, so having specific examples of your past work will really help you stand out.
✨Show Off Your Coding Skills
Since the role involves working with Python and deep learning frameworks, be prepared to demonstrate your coding abilities. You might even want to bring a portfolio of your projects or GitHub contributions to showcase your experience with software development lifecycles and engineering practices.
✨Be Ready to Collaborate
ASOS values cross-functional collaboration, so think about times when you've worked with non-technical stakeholders or mentored junior team members. Share these experiences during the interview to show that you're not just a technical whiz but also a great team player.
✨Stay Current with Research
ASOS is keen on candidates who keep up with state-of-the-art research. Be prepared to discuss recent papers or innovations in the field of machine learning and statistics. This shows your passion for the industry and your commitment to continuous learning, which is something they highly value.
