DATA SCIENTIST (M/F/D) in Koblenz

We are a community open to everyone. One global team where everyone counts.

Join the Canyon team and work at the cutting edge of the bike industry, with a job as versatile and exciting as the bikes we develop. All in an open, international atmosphere where teamwork, collaboration, true innovation, and a dynamic workplace are all part of our everyday. Ready to ride with us?

THE ROLE

Data is at the heart of how we grow, optimize, and innovate our e-commerce business at Canyon. As a Data Scientist in our Digital department, you build, operationalize, and scale data-driven models on Google Cloud Platform to drive customer lifetime value expansion, margin optimization, marketing mix modeling, and AI-native applications. Your data products will directly impact business operations and commercial decision‑making across all global channels.

YOUR JOB AS PART OF THE CANYON CREW

• Customer Intelligence: Designing and deploying Customer Lifetime Value (CLV) models that integrate customer, transaction, engagement data, and acquisition costs leverages complex enterprise data structures.




• Price Modeling: Building price elasticity algorithms using historical demand, inventory levels, and market signals optimizes gross margins across our bike portfolio.




• Acquisition Channel Optimization: Defining and deploying an advanced Marketing Mix Model (MMM) through Google’s Meridian framework measures and optimizes multi-channel advertising efficiency.




• Personalization Engine: Developing personalization systems for website and marketing touchpoints utilizes customer engagement and preference data.




• Predictive Marketing: Implementing propensity-to-buy and propensity-to-churn models fuels targeted email remarketing as well as predictive lookalike audiences across paid media channels.




• Technical Ownership: Building operational ML workflows in Google Cloud Platform (Gemini Agent Platform, BigQuery, Python) establishes robust pipelines for feature engineering, model tracking, and automated retraining.




• Data Preparation & Collaboration: Supporting data engineer:s hands-on with pipeline setup, data cleaning, and automation in BigQuery and dbt ensures ideal conditions for downstream model training.




• Evaluation & Quality Assurance: Monitoring ML infrastructure and model availability includes implementing version control and maintaining transparent documentation for all data products.




• Stakeholder Management: Partnering directly with commercial lead:s across CRM, Pricing, Sales, Performance Marketing, and E-Commerce translates business challenges into quantitative models with clear commercial targets.

HOW YOU BECOME PART OF THE RACE

• Educational Background: A degree in data science, data analytics, statistics, applied mathematics, or a closely related quantitative field forms your academic foundation.




• Professional Experience: 4+ years of hands‑on experience developing, deploying, and validating machine learning models in production environments within e‑commerce, retail, or digital industries characterises your background.




• Technical Stack & Tools: Advanced Python proficiency (Scikit‑learn, XGBoost, PyTorch/TensorFlow, Pandas), strong SQL skills for extracting data in BigQuery, and practical experience with API integrations and Git version control set your profile apart.




• Cloud & ML Ecosystem: Demonstrated expertise deploying models within Google Cloud Platform (Gemini Agent Platform, BigQuery ML, Meridian, Cloud Run) or equivalent environments (AWS/Azure) shapes your daily execution.




• Statistical Mastery: A solid foundation in supervised and unsupervised learning, time‑series forecasting, statistical hypothesis testing, and price sensitivity/elasticity analysis defines your analytical approach.




• E‑Commerce Expertise: Proven success delivering commercial ML use cases in e‑commerce (CLV, acquisition cost optimization, pricing models, retention, personalization) drives business impact.




• Language Skills: Excellent English communication skills (both spoken and written) enable smooth and effective collaboration across international teams and business functions.

HIGHLIGHTS ON YOUR CANYON TOUR

• The Canyon Crew & Culture: Combine energy and transparency in a global team. We promote a strong feedback culture, unique Canyon events, and inspiring crew rides. Your voice matters in creating an inclusive workplace where well‑being is a priority.




• Feel Canyon (Product Perks): Unlock your passion for cycling! Enjoy exclusive discounts on bikes, gear, and apparel as part of our commitment to fueling your journey.




• Compensation & Rewards: Experience a rewarding career with a competitive market‑based salary and generous paid time off. Your satisfaction is our priority.




• Life-Work Integration: Join us for a career that prioritizes balance through flexible and hybrid work options in a family‑friendly environment.




• Impact & Development: Shape the future of mobility. We offer diverse career paths across operational, strategic, creative, or technical roles, where innovation and sustainability consistently challenge and inspire you.