Celes is building the future of retail by implementing data-intensive cloud solutions. We use advanced analytics and artificial intelligence to provide actionable insights for retail companies.
This vision is realized through our brilliant team, focused on innovative solutions to well-established problems using cutting-edge tools. We take pride in our small team of highly skilled developers, where everyone's self-sufficiency maximizes their impact.
About the role:
Analyze large, complex datasets to identify patterns, trends, and opportunities for ML models
Design, develop, and deploy advanced forecasting and optimization machine learning algorithms
Test and validate models to ensure robustness in real-world scenarios
Apply dynamic business rules for data enrichment
Ensure data consistency
Debug and troubleshoot skillfully
Manage cloud resources efficiently
Implement CI/CD practices
Maintain a positive mindset and can-do attitude
Demonstrate strong teamwork and interpersonal skills
Qualifications:
3+ years of professional experience as a data scientist or similar role
2+ years of pricing experience is a plus
2+ years in demand forecasting
3+ years of professional hands-on ML model development with Python
Experience with libraries/frameworks like Pandas, PySpark, Scikit-learn, Prophet, TensorFlow, SciPy
Experience working with any cloud platform (Azure, AWS, or GCP)
Experience working with microservices
Ability to take ownership of your work, meeting agreed-upon expectations daily
