Data Science and Analytics Engineer

AgroFresh

AgroFresh is dedicated to minimizing food waste and enhancing produce supply chains with innovative digital solutions. The company collaborates with key industry players to extend the shelf life of produce through cutting-edge technologies and services. The role of Data Science and Analytics Engineer is central to AgroFresh's aim of sustainable growth and operational excellence.

In this role you can expect to have the responsibilities:

• Design and develop data-driven solutions for supply chain activities using AI and ML technologies.
• Integrate predictive models into AgroFresh platforms, ensuring real-time insights and alerts.
• Analyze data to provide key findings for internal and client stakeholders to guide business decisions.
• Collaborate with the Product Owner and Global Head on planning and developing the architectural runway.

This role comes with the following benefits:

• Opportunity to work in improving food supply chains and reducing waste.
• Rich history with quality product reputation.
• Enterprising spirit and focus on critical priorities.
• Opportunities for career advancement.
• Competitive compensation and benefits packages.

This role requires you to have:

• Bachelor’s Degree in Data Science, Computer Science, Statistics, or related experience.
• 5+ years of experience in data analysis, machine learning, and predictive modeling.
• Clear understanding of data engineering concepts and ETL processes.
• Contemporary knowledge of ML/AI technical requirements and SaaS infrastructure.
• Ability to travel up to 10% and work across multiple time zones.

You would benefit from having:

• Proficiency in ML models and BI platforms.
• Experience with predictive analytics and real-time alerting systems.
• Skilled in data integration and transformation from various sources.
• Understanding of AI and ML frameworks, with proficiency in Python and SQL.
• Experience with cloud-based infrastructure for AI model deployment.

AgroFresh emphasizes accountability, growth mindset, customer centricity, and teamwork. The company values innovation, transparency, and free thought, and seeks like-minded individuals with a problem-solving approach.