Requerimientos del cargo

- 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

Funciones

- 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 meetings, understanding client requirements, and delivering solutions that meet or exceed expectations.
- Research and devise innovative statistical models for data analysis
- Take responsibility for technical skill-building within the organization (training, process definition, research of new tools and techniques etc.)
- Take part in organizational development activities to take our organzation to the next level

Beneficios

- Hibrido. 4x1 en Chile y 3x2 en México
- 2 DP Days libres por quarter
- Protegido de salud complementario en Chile
- almuerzo en oficina
- 5 días extra de vacaciones

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📌 data Data Scientist Decision Point Latam LATAM Base Acepta LATAM Publicado hace 1 dia +3 puestos en esta empresa Machine Learning & AI 1 day ago · Chile, Mexico
🏢 WhateverAI
📍 Chile