Data Scientist en Decision Point Latam

• Development as a Subject Matter Expert in FMCG sales & marketing analytics domain, working directly with top FMCG brands across Latin America.
• Work extensively with clients. A direct interaction with clients and with our team in India. These direct interactions will fasten your learning process and will enable you to master traits of strategy consulting, i.e. from understanding business objective to analyzing data in a methodical way culminating with a final output to be delivered to the client.
• Our senior partners have a wide professional experience and expertise, having played executive roles in leading companies in Chile and various Industrial and FMCG Global companies across continents. Advanced Analytics and Big Data is not only about Data Science, but also Decision Science. You will get the best from both.

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▪ 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 leading or 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