Data Scientist

• Experience in designing, developing, optimizing, and troubleshooting ML model applications in Kubernetes environment with Spark, Java, and Python environment with databases like Apache Druid, Oracle, Cassandra and/or Kafka as the backend
• Collaborate with team to drive the technical roadmap and guide development and implementation of new data driven business solution
• Collaborate with data engineers and solution architects to overcome roadblocks, challenges in building the models.

Skills:

• Bachelor's or advanced degree in computer science, applied math, statistics or other relevant quantitative discipline, or equivalent industry experience
• 14 or more years of relevant work experience with 6 or more years as a Data Scientist, analyst, or statistical modeler.
• 2 years of experience in developing and deploying products using Docker, Kubernetes, and the containerization technology stack
• 3 years of experience in development of advanced machine learning and deep learning models such as RNN, LSTM, and specifically Graph Neural Networks(GNN)
• 3 years of experience in modern data mining and data science techniques (e.g., regressions, decision trees, ensemble algorithms, neural networks, time series analytics, clustering, anomaly detection, text analytics, etc.)
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, etc.
• Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, and MapReduce
• Experience in using NLP, BI, Graph Databases like Neo4j/OrientDB/Neptune
• Programming in Python and R using distributed frameworks like PySpark, Spark, SparkR
• Candidate with background in telecom preferred, is a plus