SR Data Scientist

• 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)
• Expertise in advanced analytical techniques (e.g. descriptive statistics machine learning optimization pattern recognition cluster analysis etc.)
• 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.

GCP,NLP,TensorFlow