Algorithm Engineer (R & Python)

Optiply is at the forefront of three rapidly expanding sectors: Software as a Service, Artificial Intelligence, and E-commerce. With our intelligent purchasing software, we empower over 300 web shops and wholesalers to make smarter buying decisions, using predictive analytics to optimize inventory management.
As an R Engineer at Optiply, you’ll be part of a dynamic and collaborative team focused on developing, maintaining, and improving our statistical and machine learning models. You’ll work closely with data scientists, backend developers, and product teams to ensure our algorithms are robust, scalable, and integrated seamlessly into our systems.

• Design, develop, and maintain statistical models and forecasting tools primarily using R.
• Collaborate with the development team to integrate R-based solutions into broader systems and workflows.
• Build APIs or microservices to expose R models to production systems when needed.
• Optimize and refactor existing R code for performance and scalability.
• Support data processing and ETL pipelines in collaboration with software engineers.
• Work with our Customer Success Team to understand product requirements and translate them into technical solutions.
• Ensure high standards of code quality, testing, and documentation.

• You have 3–6 years of professional experience in a data or engineering-focused role.
• Experience with forecasting models, time series analysis, or inventory optimization.
• Strong proficiency in R programming for statistical analysis, forecasting, or data modeling.
• Solid hands-on experience with Python, especially for scripting, data handling, or API development.
• Comfortable working with data from various sources (SQL, APIs, flat files).
• Familiar with DevOps tools and best practices (Docker, Git, CI/CD pipelines) is a plus.
• Experience working in a production environment and collaborating across teams.
• Self-driven, proactive, and comfortable working in a fast-paced, international environment.

Nice to Have

• Exposure to cloud platforms (AWS, GCP, or Azure).
• Prior experience in a SaaS, e-commerce, or supply chain tech company.

• Competitive Compensation Package: Reflects skills and contributions
• Holistic Work-Life Harmony: Values personal time and promotes a healthy work-life balance
• Comprehensive Health Coverage: Robust insurance plans
• Investment in Professional Growth: Paid training programs.
• Adaptable Work Hours: Flexibility in schedule
• Hybrid Work Model: combining remote and in-office work.
• Strategic Career Development: Personalized growth plans and advancement opportunities.
• Tailored Workspace Setup: High-quality PC, monitor, keyboard, etc.
• Social Fridays: Casual drinks fostering team camaraderie.

Then send us your CV in English and get prepared to meet our team!