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Data Scientist
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Full-time
- This position will join a team that uses that uses a combination of statistical analysis, data science, machine learning, and artificial intelligence techniques to solve our business partners’ most pressing problems and help our customers better understand their risks.
- Knowledge of statistical and predictive modeling techniques, such as machine learning, decision trees, probability networks association rules, clustering, regression, GLMs and neural and their application to business decisions networks
- Experience with programming and data tools such as Python, SQL, and PySpark
- Experience with data and data science frameworks such as numpy, pandas, sklearn, nltk, statsmodels, OpenCV, XGBoost, PyTorch, Tensorflow, Keras, etc.
- Familiarity with cognitive cloud solutions (e.g. Azure Form Recognizer, Amazon Rekognition, Amazon Textract, GCP Vertex AI)
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