Capgemini jobs - Data Science

Experience on Data Science Hands-on experience in Python, PySpark, MLib, Spark/Mesos Hands-on experience using Hive, Hbase, Impala Data exploration using OpenCV, NumPy, Matplotlib, SciPy and Pandas Very good working Knowledge on Python-based libraries e.g. Keras & Tensor flow Working with Google Cloud, Azure cloud, AWS, Cloudera/Horton Works Working experience in various other data science technologies e.g. R, SAS, SPSS, Matlab are also preferred Primary Skills Data Science experience Experience and skilled Python (incl. PySpark, Spark, MLib) Hands-on experience in analytical techniques including sampling, clustering, decision trees, SVM, Random Forest, regressions, deep learning etc. Secondary Skills Knowledge on Kafka and Flume is a plus Knowledge on Scala will be beneficial Ability to work with business and technology teams to build and deploy an analytical solution as per client needs the Ability to multi-task, solve problems and think strategically Strong communication and collaboration skills