Data Scientist: Artificial Intelligence

d Professional Expertise

1. 8 + years of validated experience in Cyber Security/Fraud Detection, MachineLearning and Data Science.

2. Working experience with Python, Pyspark, Machine learning (Supervised &Unsupervised) and deep learning frameworks like Scikit-learn, PyTorchExperience in mining features from Clickstream data, CDN and various big datasources to support anomaly detection/fraud related use cases

3. Experience applying data science techniques to the cyber security and bot/fraudproblem set, and domains like graph models, GNN, GAN, Natural LanguageProcessing (NLP), Bayesian models, UBA, GenerativeAl and a variety of neuralnetwork approaches.

4. Hands on experience with MLOps frameworks and AWS such as Airflow. Sagemaker Model Serving (Real time/batch) and distributed trainingProven ability in interpreting/implementing methods described in research papersand articles in machine learning, deep learning, mathematical modeling andrelated fields. Strong understanding of data and analytics, including experience with Big Data,real time and batch data processing. End to end ownership of the engineering cycle for Al/ML

Preferred Technical and Professional Expertise

1. Bachelor's or Master's Degree, MBA is a plus
2. English: Fluent both oral and written