Senior Machine Learning Scientist

In short

As a Machine Learning/Data Scientist specialized in marketing science, your mission is to elevate our marketing performance through building industry-leading machine learning & AI solutions. You will collaborate closely with marketing teams to design and execute data and machine learning pipelines that drive both efficient campaigns with marketing partners, and better real-time experiences in our web and app. This role demands strong business acumen and technical prowess to effectively translate broadly defined marketing problems into specific data, ML and AI solutions.

This role reports to the head of Machine learning and AI on the data science team, supporting our digital marketing teams.

Your Mission

• Build strong relationships with key stakeholders like Digital Marketing or Customer Experience to design data flows and AI strategies.
• Proactively identify, prioritize and solve challenging marketing problems leveraging your expertise in data and AI.
• Drive research into the state of the art for marketing science
• Lead the design and implementation of machine learning and AI pipelines to optimize marketing decision making in collaboration with marketing teams.
• Develop and refine models such as Customer Lifetime Value, customer product recommendation, and churn prediction, incorporating advanced ML techniques and the latest GenAI technologies.
• Be responsible for algorithm performance, including designing QA metrics and processes, and validating measurable impact through experimentation.
• Effectively communicate on the impact and efficacy of the marketing ML and AI applications to all levels of the organization.

Your story

• You are a senior Data Scientist and a domain expert in marketing science, machine learning and AI algorithm design and production implementation, with a proven track record in the digital marketing landscape, particularly within a D2C/E-commerce environment and a clear understanding of prediction models, classifiers, user behavior and website performance.
• You are proficient in batch and streaming ML & AI applications, with a proven ability to design and execute machine learning pipelines. You have a strong understanding of ML Operations principles.
• You have a track record of identifying the right problem to solve at the right time, to maximize business impact.
• You have excellent communication, presentation, and interpersonal skills, with the ability to influence stakeholders and drive consensus. You have experience with data visualization tools and techniques.
• You thrive in a dynamic and fast-paced environment, possess a proactive attitude, and are passionate about solving complex challenges.
• Familiarity with cloud-based machine learning platforms (e.g., Vertex AI)

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.