Lead Applied Data Scientist

Summary

Join RELEX Solutions as a Lead Data Scientist and contribute to cutting-edge optimization software for retailers and consumer brands. You will be part of the Core Replenishment team, developing replenishment solutions, building new features, and supporting related software projects. The role involves developing and deploying solutions for real-world replenishment challenges using machine learning, optimization, and deep learning. You will work with large datasets, collaborate with customers and internal teams, and communicate results effectively. This position requires over 5 years of applied data science experience and proficiency in Python, Azure, and Snowflake. RELEX offers flexible and remote working options, comprehensive health and wellness initiatives, and professional development opportunities.

Requirements

• Over 5 years of experience in applied data science, from ideation to production deployment and operations
• Ability to create value by mentoring and inspiring others
• Deep understanding of stochastic systems
• 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
• Excellent communication, business understanding, and teamwork skills
• T-Shaped competency profile: generalist in many areas, but also deep understanding in some relevant areas
• Fluency in English

Responsibilities

• Develop and deploy solutions to solve real-world replenishment challenges
• Work with large datasets and simulations 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
• Own the Data Science roadmap for the Replenishment area, and drive the long-term vision for the product
• Actively collaborate across the company to implement cutting edge solutions to our product

Preferred Qualifications

• Experience in retail or consumer packaged goods industries
• Proficiency in Java
• Experience in large scale decision making under uncertainty
• Experience in approximate dynamic programming

Benefits

• Flexible and remote working options to support work-life integration
• Comprehensive health and wellness initiatives
• Professional development opportunities, including training, mentorship, and clear career pathways