Lead - Data Science & Machine Learning

In short

In order to successfully deliver its ambition, On is reinforcing its data, Machine Learning and AI capabilities in the Chinese Market. As a Data Scientist with Machine Learning Engineering experience your mission is to maximize the power of our database by building efficient artificial intelligence systems and to advance our predictive automation capabilities tackling business challenges across loyalty, retention, customer acquisition, channel attribution and omnichannel presence.

You assess, analyze, and organize large amounts of data to execute experiments and optimize machine learning models pursuing data-driven insights. You build scalable data products focusing mainly on product recommendation, personalisation and forecasting use cases, working closely together with business teams aiming to shape the strategic roadmap and optimize performance; all towards realizing On’s business goals and long-term vision.

Your Mission

• Identify key projects to drive success and maximise the impact of your work through discovering potential high-impact business opportunities and use cases to solve with Machine Learning or AI capabilities.
• Develop an Machine Learning /AI framework focusing on unique platform-characteristics of the Chinese tech stack landscape and market.
• Lead ML projects to develop data-driven products, train and optimize classifiers and prediction models, productionize and monitor complex ML systems and construct data pipelines integrated with our digital products to solve difficult business challenges and to contribute to smart decision-making.
• Focus on forecasting, product recommendation and personalisation use cases that bring significant impact to the Chinese business enhancing customer experience and ultimately improve overall business performance.
• Analyze and leverage big data and conduct statistical inference focusing on the whole customer journey and translate these findings into actionable strategies.
• Establish strong relationships with critical business partners globally to ensure alignment and success. Communicate data science and advanced analytical solutions to stakeholders.

Your story

• You have 6+ years of experience as a Data Scientist with good Machine Learning Operations exposure in a Direct-to-Consumer/E-commerce business environment with a clear understanding of digital marketing and customer experience strategies and of prediction models, classifiers, marketing channel mix, attribution, recommendation engines, user behavior, website performance, etc.
• You have experience in developing and enhancing an Machine Learning /AI platform for robust model development
• You have experience in building end-to-end machine learning pipelines with automated performance monitoring, dynamic model retraining and handling real-time inference in a production environment
• You have knowledge of and experience with software architecture, Machine Learning and Machine Learning Operations frameworks and with recommendation and personalization techniques
• You are proficient in applied statistics, bayesian testing, forecasting, incrementality testing and in experiments such as causal impact analysis.
• Familiarity with Marketing-mix modelling and recommender systems is a plus.
• You feel comfortable working in dynamic and fast moving environments, you have a proactive attitude and you are constantly looking for new challenges.

What to expect

We want to set everyone up for success, so here’s the lowdown on how we hire. Our process is a two-way street – bringing you into our culture, while helping us learn how you think.

Our full process can last about eight weeks from application to offer, because we care about getting it right. These steps explain how we usually do things.

Before you get started, feel free to consider if you want to work with us. Strange question? Well, we give people a lot of space to navigate their day-to-day and that style isn't for everyone. We want you to be passionate about what you do and be sure this is the right fit. Because when skills and passion combine – it creates that 'Wow' moment.

• Step One

  It starts with you...

  You'll start by submitting your application to a specific role. We try to keep this step as simple as possible. We do get a lot of applications, but we review them all. We ask that you allow around 14 days for us to come back to you with a response. If you are a good fit to the role, someone will follow up with you within that window. If you didn't receive a reply, or were unsuccessful this time around, we encourage you to look for other possible matches at On.

• Step Two

  Interview with a recruiter

  What ignites your spirit? This is where we’ll start getting to know all about you and what makes you tick – and it’s your first chance to get a feel for our culture. Chatting with a member of our talent team, you’ll learn more about On and how we work. We’ll learn about what motivates you and what you could bring to the team.

• Step Three

  Interview with a hiring manager

  Ready to dig into the details? This second interview will be held with your future manager and will focus on the specifics of the job. Together you’ll delve into your unique skills and experiences and how they could be relevant at On. It's also a time to assess how you might feel working side-by-side. Bring any questions you have about the job, the team or anything else you might like to know – this is an open forum.

• Step Four

  The Case Study

  What's your style? This task will help us understand how you think, face a challenge and give insight into your novel ideas. Designed to give everyone their best shot, your case study is based on something you might typically experience on the job. This is your chance to show us what you’ve got. So express yourself. Be you.

• Step Five

  The Experience Day

  Your first taste of the Oniverse. This is a time to meet some of the people you'll be working closest with. In person or virtually, you'll get a feel for the day-to-day at On and the people who make it happen. You'll chat with a few potential teammates - the conversations will be as equally driven by the role and your experience as by our values. We believe how you do things is just as important as what you do.

• Step Six

  The Result

  Are we a good fit? We’ll get together internally to share our feedback and decide if we’re a match. We know that job searching is a big time investment, so it’s not a decision we take lightly. It’s also time for you to reflect on the experience – are we the right place for you? No matter the outcome, we’ll give you meaningful feedback.

Step One:

It starts with you...

You'll start by submitting your application to a specific role.

We try to keep this step as simple as possible. We do get a lot of applications, but we review them all. We ask that you allow around 14 days for us to come back to you with a response. If you are a good fit to the role, someone will follow up with you within that window. If you didn't receive a reply, or were unsuccessful this time around, we encourage you to look for other possible matches at On.