Applied Data Scientist

Summary

Join RELEX Solutions, a company creating cutting-edge optimization software for retailers and consumer brands, as a Data Scientist in the F&R Engineering department. 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 and simulations, collaborate with customers and other teams, and communicate results to stakeholders. RELEX offers a flexible work environment, competitive pay, and various benefits. The company fosters a collaborative and inclusive culture, promoting professional and personal growth.

Requirements

• 1-3 years of experience in applied data science, from ideation to production deployment and operations
• 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
• Select and use the best tools for the job; current products are built using machine learning, optimization and deep learning
• 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

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