Senior Applied Scientist - Zalando Payments (all genders)

Key Skills

Java Programming, Python Programming, SQL, AWS, PyTorch, TensorFlow, Scikit-learn, SPARK Programming, SparkML

Job Description

As a Senior Applied Scientist in Payment Risk, you experiment and contribute to building the next generation of AI-based risk management and fraud prevention systems processing massive transaction volumes.

You create value for millions of customers, enabling better decision-making through the use of best-in-class statistical and ML methodologies in the domains of risk and fraud prevention and detection.

This position is located in the Risk Management Department, which is responsible for managing credit and fraud risk for Zalando’s payments and refunds.

INCLUSIVE BY DESIGN

At Zalando, our vision is to be the Starting Point for Fashion - one that is inclusive by design. We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you’re great for this role, so please avoid including your picture, age, and marital status in your CV as well.

We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.

do.BETTER - our diversity & inclusion strategy: https://corporate.zalando.com/en/diversity-inclusion
Our employee resource groups: https://corporate.zalando.com/en/diversity-inclusion/our-employee-resource-groups

WHY YOU SHOULD BE INTERESTED…

• You will explore problems, formulate hypotheses, design experiments, prototype and validate solutions balancing scientific rigor and business impact
• You will drive innovation and improve models through research, design and development of new ML features to create measurable business impact
• You will develop and maintain scalable ML pipelines
• Bring in your strong analytical skills to develop models that solve real world problems in the e-commerce and payments domains
• You will collaborate with software engineers to roll out and monitor machine learning models in production environments
• You will work with a variety of stakeholders and create performance metrics
• Make a substantial financial impact on Zalando’s business
• Engage with the wider applied science community at Zalando

WE’D LOVE TO MEET YOU IF…

• You have BSc in Computer Science, Physics, Mathematics, or other similar quantitative fields with industry experience in Machine Learning / Data Science and strong knowledge of ensemble methods
• You offer proven experience in data analysis and feature exploration, solid expertise in prototyping and rolling-out machine learning algorithms at scale
• You have solid experience with Python, knowledge of big data frameworks like Spark, ML libraries like scikit-learn, Spark ML, PyTorch/TensorFlow, and cloud-based solutions (preferably AWS)
• You are able to present results clearly to all types of audiences in both written and oral communication and commitment to contribute to community talks and cross-team initiatives

ZALANDO BENEFITS

Career Development

• We offer peer-to-peer performance reviews twice a year
• Learn and develop through our extensive Zalando training platform
• Join regular all-hands, team meetings, Q&A-sessions, and quarterly anonymous employee surveys to ask your questions and provide your feedback
• Support from an international team of experts; mentoring and professional development opportunities

Wellbeing

• 2 days paid leave per year for volunteering
• Minimum of 27 holiday days per calendar year
• Online sports courses, wellbeing, and nutrition advice offered by Humanoo personal wellbeing coach app
• Mental wellbeing support by our Employee Assistance Program and professional consultants to help you find health resources

Flexibility

• Flexible working hours
• Relocation assistance available - subject to prior agreement
• Home office equipment available for hybrid working, to support you working from home
• Hybrid working model with 60% remote per week
• Opportunity to work from abroad for 30 (working) days per calendar year

Financial

• Access to the employee shares program
• 40% shopping discount on products shipped and sold by Zalando, and 30% discount on Zalando Lounge
• Discounts from a wide range of external partners

Family

• Employee parents’ forums and employee resource group
• Supported transition into and out of parental leave, with a buddy and re-onboarding plan
• 3 fully-paid child sick days per year
• Free counseling, assistance, and referral service for all matters concerning yourself and your family via the Fürstenberg Institute