Masters degree or PhD in Computer Science Statistics Applied Mathematics or a related field with at least 5 7 years experience in data science or a similar role.
Translates business needs into analytics/reporting requirements to support datadriven decisions with required information & explain ability
Proficient in at least one analytical programming language relevant for data science. Python ecosystem preferred R will be acceptable machine learning libraries & frameworks (e.g. TensorFlow PyTorch scikitlearn) and familiar with data processing and visualization tools (e.g. SQL Tableau Power BI).
Good knowledge on Natural Language Processing (NLP)
Experience with cloud computing environments (GCP) and Data/ML platforms (Databricks Spark).
Leverage ML and LLM technologies to draw insights from data.
Strong understanding of the Machine Learning lifecycle feature engineering training validation scaling deployment monitoring and feedback loop.
Experience in Supervised and Unsupervised Machine Learning including classification forecasting anomaly detection pattern recognition using variety of techniques such as decision trees regressions ensemble methods and boosting algorithms.
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