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Data Scientist

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Ubicación
Santiago, Metropolitana
Modalidad
Híbrido
Jornada
Jornada completa
Publicado
17 ago

La fuente no informa: contrato, experiencia, sueldo, cierre.

Resumen

▪ Utilize advanced Python programming skills to design, develop, and deploy machine learning models and algorithms for various business use cases. ▪ Develop Machine Learning techniques such as regression, classification, clustering, and deep learning ▪ Ensure the availability, quality, and security of data used for analysis and modeling ▪ Investigate and interpret data to identify actionable insights and opportunities for improvement ▪ Work with cross-functional teams to implement data-driven solutions and drive business growth ▪ Manage client relationships effectively, including conducting…

Requisitos y detalle del puesto

▪ Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or related field. Master's degree preferred

▪ Minimum of 1+years of experience in a data science domain or related role.

▪ Proficiency in Python for data manipulation, analysis, and model development.

▪ Data Science libraries (such as NumPy, Pandas, Scikit-Learn, TensorFlow, or PyTorch)

▪ Advanced SQL skills for data extraction, transformation, and analysis.

▪ Strong experience in Lifecycle of a Data Science Modelling project

▪ Strong knowledge and practical experience in Machine Learning techniques and frameworks such as such as regression, classification, clustering, and deep learning.

▪ Strong knowledge in Statistics, ML and LLM/Gen AI

▪ Proven track record of successfully managing client relationships and delivering value-added solutions

▪ Experience in building Reporting Dashboards in any of the BI Tools is good to have: Power BI, Tableau, Looker

▪ Familiarity with any could platform such as Azure, AWS, GPC

▪ Expert in Analytics solutions such as Marketing, Predictive Order, Segmentation, Promotion, Hyper-personalization, forecasting, Pricing Analytics development is a plus

▪ Experience in collaborating with a team of data scientists and engineers in developing and delivering machine learning models that work in a production setting..

▪ Excellent Stakeholder communication and proactive problem-solving

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