Applied Data Scientist, Assortment Planning

Summary

Join RELEX Solutions, a company creating cutting-edge optimization software for retailers and consumer brands, as a Data Scientist in the Assortment Planning team. You will develop and deploy solutions for real-world assortment planning challenges using machine learning, optimization, and deep learning, working with large datasets to create scalable and trustworthy solutions. Collaboration with customers and other RELEX teams is crucial to identify opportunities and shape the R&D roadmap. Effective communication of results to stakeholders at all levels is expected. The role offers a flexible work environment and the opportunity to make a tangible impact on the world and your career. RELEX provides competitive compensation and benefits, including flexible working arrangements and extensive physical and mental well-being support, along with professional development opportunities.

Requirements

• 1-3 years of experience in full-stack data science, from ideation to production deployment and operations
• Strong problem-solving skills, with the ability to translate business challenges into solutions that work in real life in a hyper-large environment with extremely high SLA requirements
• Proficiency in Python, Azure, Snowflake
• Proven track record of continuous learning and growth
• Strong creative and independent thinking, questioning status quo
• T-Shaped competency profile: generalist in many areas, but also deep understanding in some relevant areas
• Excellent communication, business understanding, and teamwork skills
• Fluency in English

Responsibilities

• Develop and deploy solutions to solve real-world assortment planning challenges
• Work with large datasets to create scalable and trustworthy solutions that deliver measurable business value
• Collaborate with customers and other RELEX teams to identify opportunities and shape the R&D roadmap
• Communicate results and complex technical concepts effectively to stakeholders at all levels

Preferred Qualifications

• Experience in retail or consumer packaged goods industries
• Experience in assortment planning
• Proficiency in Java
• Proficiency with combinatorial optimization

Benefits

• Flexible and remote working options to support work-life integration
• A unique opportunity in highly ambitious global scale-up company
• A collaborative and diverse work environment that fosters learning, innovation, and psychological safety
• Competitive compensation and benefits, including flexible working arrangements and extensive physical and mental well-being support
• Professional development opportunities, including training, mentorship, and clear career pathways
• A chance to contribute to sustainability and waste reduction on a global scale