About celes: 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. - understanding of a...
About celes: 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. - understanding of a...
About celes: 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. - understanding of a...
About celes: 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. - understanding of a...
About celes: 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. - understanding of a...
About celes: 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. - understanding of a...
About celes: 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. - understanding of a...
About celes: 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. - understanding of a...
About celes: 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. - understanding of a...
About celes: 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. - understanding of a...
About celes: 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. - understanding of a...
About celes: 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. - understanding of a...
About celes: 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. - understanding of a...
About celes: 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. - understanding of a...
About celes: 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. - understanding of a...
Empresa líder del sector saas esta en la búsqueda de un technical account manager (tam) enfocado en datos y automatización para liderar nuestras implementaciones. este rol debe asegurar la calidad, integridad y trazabilidad de la información que alimenta nuestros modelos de forecast y abastecimiento, trabajando exclusivamente mediante herramientas, scripts y procesos automatizados . no buscamos a alguien que realice tareas manuales — buscamos a quien las elimine. este rol funciona como puente entre lo técnico y lo funcional, asegurando que las decisiones del negocio se basen en datos validados, depurados y automatizados desde su origen. - diseñar y mantener scripts o herramientas internas para verificar completitud, coherencia y estructura de los datos que se reciben del cliente. - generar reportes automatizados que permitan identificar y rastrear inconsistencias en los datos antes de iniciar fases de prueba o configuración. - exploración de datos con clientes: liderar reuniones de exploración de datos con los clientes, entendiendo a fondo sus casos de uso y traduciéndolos en requisitos técnicos claros. - pensamiento estratégico: mantener una comprensión profunda del modelo de negocio, anticipando necesidades y proponiendo soluciones que aporten valor. - +4 años de experiencia en análisis y validación de datos. - nivel sql intermedio - avanzado - +2 años de experiencia previa en procesos robustos de implementación. - capacidad para automatizar procesos de validación. - + 2 años de experiencia previa trabajando en startups. - habilidades avanzadas en diagnósti...
Cree una alerta de empleo y reciba nuevas ofertas que se adaptan a su perfil desde más de 2550 sitios web de empleo