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Sr. Data Scientist
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- Proficient in one or more programing languages: R, Python, Java, Scala, HTML, Matlab, R, SQL, C/C
- Proficient in one or more Libraries: numpy/scipy, scikit-learn, pandas, PyMC3, Ray/RLLib, Theano, TensorFlow, PyTorch, Caffe, Keras, pyspark, OpenCV, AngularJS, D3.
- Proficient in Software/Frameworks: Power Apps, Power Automate, ArcGIS Platform, Docker, Kubernetes, Kibana, Logstash, Node.js, YARN, Zookeeper, HDFS, Apache Spark, Apache Kafka, Ambari, Git, MS Office (Word, Powerpoint, Excel), Unix/Linux, OpenStack, AWS, Azure, VMWare.
- Proficient in Databases: Dgraph, ArgangodB Elasticsearch, PostgreSQL/PostGIS, MySQL, MongoDB, Redis, Accumulo.
- Proficient in Geospatial Information Systems (GIS) software (e.g., ESRI ArcGIS suite) to support data analysis in varying domain classifications.
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