4 beste Stellen als data science machine learning python in kanton zürich – aktuell auf Personalsuche

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Senior Specialist - Global Digital Planning & Strategy

On AG -
Zürich, ZH

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Details zur Stelle

Qualifikationen

Management-Erfahrung
R
Englisch
SQL
Erfahrung in der IT
Kommunikationsfähigkeit
Python

Vollständige Stellenbeschreibung

Location: Zurich

In short

We are seeking a high-caliber Senior Specialist to join our Global Digital Planning & Strategy team. In this high-impact role, you will be instrumental in elevating our Direct-to-Consumer (DTC) E-commerce planning and forecasting capabilities, with a mandate to drive transformation toward an AI-infused and empowered function.

You will be responsible for the financial modeling around our Ecom budget and forecasting rounds, the development of sophisticated analyses, and the execution of strategic initiatives. This is a crucial opportunity to work closely with our Digital Commercial team and Chief Digital Officer to drive the Ecom business plan and steer On's Ecom business through data-driven decisions. Digital at On represents the direct-to-consumer distribution channel, covering sales via our ecommerce platform, marketplaces and Mobile App.

This role requires 2–4 years of relevant professional experience and is based from our office in Zurich.

Your Mission

Lead and innovate On’s Ecom business plan by owning and developing the financial Ecom budget and predictive forecasting models, specifically leveraging time series and advanced analytical techniques
Drive the elevation of planning processes into an AI-infused function by identifying and implementing workflow automation and cutting-edge data science solutions
Generate actionable, executive-level insights for the Digital leadership team by closely monitoring business performance against plan and assessing risks and opportunities
Oversee weekly and monthly reporting of Ecom performance for Digital Management and On’s Finance team, ensuring clarity and precision for senior stakeholders
Integrate media plans into sales planning models, monitoring performance, identifying optimization opportunities, and guiding data-driven trade-offs in resource allocation to maximize commercial impact
Develop automated, AI-powered reporting solutions to track and analyze the financial performance of Digital channels, enabling faster insights, improved forecasting accuracy, and scalable decision-making

Your story

You have 2–4 years of professional experience in a highly analytical, strategic, or technology-focused role, ideally in management consulting, corporate finance, investment banking, data science/analytics or data engineering - prior experience in E-commerce or Consumer Goods DTC is a strong plus.
You have proven, hands-on expertise in financial modeling and business planning with a strong focus on time series and predictive analytics
You have essential experience in workflow automation and a passion for leveraging AI/machine learning to drive business outcomes and elevate processes
You have a strong academic background in Data Science, Business Management, Finance, Engineering, or a related quantitative field
You have strong technical data skills (e.g., experience in using SQL, Python, or R) and the ability to synthesize large datasets into clear, actionable insights
You have excellent interpersonal skills with a proven track record of managing multiple stakeholders and building consensus on proposed solutions across diverse teams
You are highly autonomous, solution-oriented, and determined to deliver assigned targets in a dynamic and fast-changing setup
You have excellent verbal and written communication and presentation skills in English

Zürich

Just by the banks of the Limmat you’ll find our largest global hub in Zürich West – On Labs – where you can hike up 12 floors through our custom-built spiral trail.

Förrlibuckstrasse 190,
8005
Switzerland

Location

What we offer

On is a place that is centered around growth and progress. We offer an environment designed to give people the tools to develop holistically – to stay active, to learn, explore and innovate. Our distinctive approach combines a supportive, team-oriented atmosphere, with access to personal self-care for both physical and mental well-being, so each person is led by purpose.

On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination.

Build the better you

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. If you're a good fit to the role, a recruiter will follow up with you directly. 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.

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Erweiterte Suche

data science machine learning python Jobs in kanton zürich

Senior Specialist - Global Digital Planning & Strategy

Mid / Senior SLAM Engineer

Sr. DevOps Engineer

Senior Software Engineer - Distributed Systems

Ich möchte aktuelle Job-E-Mails für Stellen als data science machine learning python in kanton zürich erhalten

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Weitere Job-Standorte erkunden

In short

Your Mission

Your story

Zürich

What we offer

What to expect

Step One

It starts with you...

Step Two

Interview with a recruiter

Step Three

Interview with a hiring manager

Step Four

The Case Study

Step Five

The Experience Day

Step Six

The Result

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