Applied Science Manager / Lounge by Zalando (all genders)

About the role

This role involves leading an interdisciplinary team of Applied Scientists and Engineers to develop and refine pricing algorithms for Lounge by Zalando. The core objective is to optimize discounts on a large scale, directly influencing the company's high-growth strategy. The work will leverage machine learning and operations research to create world-class solutions for a platform serving millions of members across Europe.

Success in this position means defining and executing roadmaps, navigating complex projects, and identifying high-impact pricing levers. The manager will be responsible for fostering a culture of technical excellence, ensuring the team adopts cutting-edge practices, and effectively communicating progress and challenges across various organizational levels. This leadership is crucial for transforming ideas into production-ready solutions.

The team operates within Lounge by Zalando, an online shopping club specializing in fashion and lifestyle. The company emphasizes pricing and assortment optimization as central to its business model. The manager will contribute to a dynamic environment where scientific rigor and practical application drive significant business outcomes, impacting the efficiency and profitability of sales.

The salary for this position ranges from $110,000 to $165,000 annually.

Skills that matter here

• Machine Learning: This role uses machine learning to develop and optimize pricing algorithms for large-scale product discounts.
• Python: Python is used as a primary tool for applied contexts in developing and implementing scientific solutions.
• Operations Research: Operations research principles are applied to optimize pricing strategies and assortment decisions.
• Economics: An understanding of economics helps in developing effective pricing levers and strategies.

Who this role suits

• A person with a strong academic background in a quantitative field and at least five years of industry experience.
• Someone with a proven ability to lead and mentor technical teams, guiding their career development and fostering an inclusive environment.
• An individual who can define and execute technical roadmaps, navigating uncertainty and complexity in project delivery.
• A leader who can effectively communicate complex technical concepts and problem-solve across different organizational levels.

From the employer

Responsibilities

• Lead a high-performing, interdisciplinary team of Applied Scientists and Engineers.
• Mentor and grow technical talent, guide career trajectories, and foster an inclusive team culture.
• Define and execute roadmaps, navigating project uncertainty and complexity.
• Identify and develop high-impact pricing levers.
• Inspire the team to adopt cutting-edge best practices and engineering standards.
• Communicate and problem-solve effectively across all levels.

Requirements

• PhD or MSc in a quantitative field, with at least 5+ years of industry experience in Machine Learning, operations research, forecasting, economics, or similar fields.
• 2+ years of experience in people and project leadership in ambiguous environments.
• Proven track record in developing solutions from initial idea to production.
• Excellent verbal and written communication skills.
• Strong experience with Python in applied context.

Conditions

• 27 days of holiday a year for full-time employees.
• 2 paid volunteering days a year.
• Hybrid working model with up to 60% remote per week.
• Work from abroad for up to 30 working days a year.
• Employee shares program.
• Discounts on fashion and beauty products.
• Relocation assistance available.
• Family services, including counseling and support.
• Health and wellbeing options.
• Mental health support and coaching available.
• Development through training platform and biannual peer-to-peer review.