| 15 years of Experience Data Scientist in Basking Ridge, NJ. (Onsite) at Basking Ridge, New Jersey, USA |
| Email: [email protected] |
| From: saravanaraj, Smartitframe [email protected] Reply to: [email protected] Hi , Greeting from Smart IT Frame, Below is the great opportunity. Please have a look, if you are interested, please drop me your updated resume along with your contact information ASAP. In case you are not available please feel free to pass on this email to your friends or colleagues who might be interested. Role: Data Scientist Location: Basking Ridge, NJ. (Onsite) Duration: Long term As the Data Scientist / ML engineer, you are expected to engineer, develop and deliver ML models using real time network data to enable decision making and drive insights for a leading Telecom client. Key responsibilities will be - 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 Keywords: machine learning business intelligence rlang information technology New Jersey |
| [email protected] View all |
| Thu Jan 18 19:25:00 UTC 2024 |