Senior Data Scientist

Collaborate with cross-functional teams to identify and define business problems that can be solved through data analysis. Collect, clean, and preprocess raw data from various sources to prepare it for modeling and analysis. Employ a variety of analytical methods such as statistical analysis, predictive modeling, clustering, classification, and anomaly detection. Develop and validate machine learning models to generate predictions, forecasts, and recommendations. Communicate findings, insights, and recommended actions to stakeholders through compelling data visualizations and narratives. Stay up-to-date with the latest trends and advancements in data science, machine learning, and analytical tools. Continuously improve data pipelines, analytical processes, and modeling techniques to enhance efficiency and accuracy.