Develop analytical models (descriptive, predictive, and prescriptive) to generate insights into customer behavior.
Integrate and process large volumes of data, ensuring data quality, consistency, and governance.
Build dashboards and executive presentations that translate data into strategic recommendations for the business.

Strong command of statistical modeling and machine learning (regression, classification, clustering, time series, probabilistic models).
Programming in Python or R, using libraries such as pandas, NumPy, scikit-learn, TensorFlow, PyTorch.
Experience with advanced SQL and data manipulation in relational and NoSQL databases.
Knowledge of Big Data (Spark, Hadoop, or similar).
Experience with ETL/ELT and building data pipelines.
Proficiency with visualization tools: Power BI, Tableau, Matplotlib, Seaborn.

Data Scientist

Key skills