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Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or related field. Master's degree preferred
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Minimum of 1+years of experience in a data science domain or related role.
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Proficiency in Python for data manipulation, analysis, and model development.
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Data Science libraries (such as NumPy, Pandas, Scikit-Learn, TensorFlow, or PyTorch)
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Advanced SQL skills for data extraction, transformation, and analysis.
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Strong experience in Lifecycle of a Data Science Modelling project
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Strong knowledge and practical experience in Machine Learning techniques and frameworks such as such as regression, classification, clustering, and deep learning.
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Strong knowledge in Statistics, ML and LLM/Gen AI
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Proven track record of successfully managing client relationships and delivering value-added solutions
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Experience in building Reporting Dashboards in any of the BI Tools is good to have: Power BI, Tableau, Looker
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Familiarity with any could platform such as Azure, AWS, GPC
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Expert in Analytics solutions such as Marketing, Predictive Order, Segmentation, Promotion, Hyper-personalization, forecasting, Pricing Analytics development is a plus
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Experience in collaborating with a team of data scientists and engineers in developing and delivering machine learning models that work in a production setting..
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Excellent Stakeholder communication and proactive problem-solving
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Utilize advanced Python programming skills to design, develop, and deploy machine learning models and algorithms for various business use cases.
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Develop Machine Learning techniques such as regression, classification, clustering, and deep learning
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Ensure the availability, quality, and security of data used for analysis and modeling
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Investigate and interpret data to identify actionable insights and opportunities for improvement
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Work with cross-functional teams to implement data-driven solutions and drive business growth
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Manage client relationships effectively, including conducting meetings, understanding client requirements, and delivering solutions that meet or exceed expectations.
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Research and devise innovative statistical models for data analysis
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Take responsibility for technical skill-building within the organization (training, process definition, research of new tools and techniques etc.)
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Take part in organizational development activities to take our organzation to the next level
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Hibrido. 4x1 en Chile y 3x2 en México
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2 DP Days libres por quarter
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Seguro de salud complementario en Chile
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almuerzo en oficina
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5 días extra de vacaciones
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