Data Scientist

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 del cargo ▪ 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