SR. Data Scientist
- Master's 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 data-driven 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, scikit-learn) 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.,
SR Data Scientist
Experience with cloud computing environments (GCP) and Data/ML platforms (Databricks Spark). 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/...
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Experience with cloud computing environments (GCP) andData/ML platforms (Databricks Spark). Masters degree or PhD in ComputerScience Statistics Applied Mathematics or a related field with atleast 5 7 years experience in data science or a similarrole. Translates business needs intoanalytics/reporting...
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