Pricing Data Scientist (m/w/d)

Welcome to XXXLdigital, where digital innovation meets real-world impact. As the digital unit of the XXXL Group, we are dedicated to all things e-commerce and stationary trade. We develop software solutions for one of Europe's leading furniture retailers. Curating products for the online shops, optimising the customer experience, and handling digital marketing are also part of our core business. We focus on customer needs and providing a seamless omni-channel shopping experience. Our vision is to be the driving force behind the digital transformation of the XXXL Group, creating innovative solutions that shape the future of e-commerce. As a Pricing Data Scientist (m/w/d), you will play a key role in this journey. Your main responsibilities will include: • Developing and maintaining pricing strategies for our clients based on market trends, customer behavior, and product characteristics. • Collaborating with cross-functional teams to integrate pricing insights into our software solutions. • Analyzing large datasets to identify patterns and trends that inform pricing decisions. • Staying up-to-date with the latest developments in data science, machine learning, and artificial intelligence to continuously improve our pricing strategies. • Working closely with our data engineers to ensure seamless integration of your models into our software architecture. • Presenting findings and recommendations to stakeholders, including clients and internal teams. Requirements: • Master's degree in Data Science, Computer Science, or a related field. • 3+ years of experience in data science, preferably with a focus on pricing or revenue management. • Strong programming skills in languages such as Python, R, or SQL. • Experience with machine learning and deep learning frameworks like TensorFlow, PyTorch, or scikit-learn. • Familiarity with cloud-based technologies like AWS, Google Cloud, or Azure. • Excellent analytical and problem-solving skills. • Strong communication and presentation skills. • Ability to work in a fast-paced environment and adapt to changing priorities. Benefits: • Competitive salary and benefits package. • Opportunity to work on cutting-edge projects that shape the future of e-commerce. • Collaborative and dynamic work environment with a diverse team of experts. • Flexible working hours and remote work options. • Access to training and development opportunities to advance your skills and career. If you are passionate about data science, pricing, and innovation, we look forward to receiving your application. Please submit your CV and a cover letter explaining why you would be the perfect fit for this role.