-Analyze large and complex datasets to identify trends, patterns, and actionable insights that support business decision-making.
-Develop, train, and validate statistical and machine learning models to solve business problems and improve operational performance.
-Apply advanced analytics techniques such as predictive modeling, classification, clustering, and forecasting.
-Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
-Perform data exploration, cleaning, and feature engineering to prepare datasets for modeling and analysis.
-Design and conduct experiments and A/B tests to evaluate model performance and business impact.
-Communicate insights and model results to technical and non-technical stakeholders through reports, visualizations, and presentations.
-Work with data engineers and ML engineers to deploy models and integrate analytical solutions into production environments.
-Develop dashboards and data visualizations to support business intelligence and reporting needs.
-Ensure data quality, integrity, and proper documentation of analytical processes.
-Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.
-4–6+ years of experience in data science, advanced analytics, or statistical modeling.
-Strong programming skills in Python or R, with experience using libraries such as Pandas, NumPy, Scikit-learn, or similar tools.
-Solid understanding of statistical analysis, machine learning algorithms, and predictive modeling techniques.
-Experience working with large datasets and database technologies such as SQL.
-Familiarity with data visualization tools such as Tableau, Power BI, or Python visualization libraries.
-Experience with data manipulation, data wrangling, and exploratory data analysis.
-Knowledge of machine learning model evaluation, feature engineering, and experimentation techniques.
-Experience working with cloud platforms such as AWS, Azure, or Google Cloud is a plus.
-Strong analytical thinking and problem-solving abilities.
-Excellent communication skills with the ability to explain complex data insights to non-technical stakeholders.
-Advanced English proficiency skills (C1) required.
DBServer
DBServer
Globant
Tabby
Depop
Talentus
Talentus
Talentus