| URGENT NEED Sr. Data Scientist with GIS Experience for Remote role at Remote, Remote, USA |
| Email: [email protected] |
| Hi, Pleasure mailing you. Please go through the below requirement and let me know if you are comfortable for the position. Please send me your updated resume along with the best hourly rate, work authorization status and availability. An early response is really appreciated Job Title: Sr. Data Scientist with GIS Experience Location: Remote role Duration: 12+ months Requirements: Bachelor's Degree or Higher in one of the following disciplines: Operations Research, Applied Mathematics, Engineering, Science, Computer Science, Mathematics, Statistics or GIS. Understanding of machine learning, deep learning and modeling tools. Experience with semantic knowledge graphs and large language models Experience interacting with big data systems such as Microsoft Azure Data Lake, Elastic Cloud, and/or Amazon Web Services (AWS). Experience with various data ingestion techniques and script writing for data ingestion. Proficient in one or more programing languages: R, Python, Java, Scala, HTML, Matlab, R, SQL, C/C++, and JavaScript. Proficient in one or more Libraries: numpy/scipy, scikit-learn, pandas, PyMC3, Ray/RLLib, Theano, TensorFlow, PyTorch, Caffe, Keras, pyspark, OpenCV, AngularJS, D3.js, jQuery, Boost (C++). 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, 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. Knowledge of statistical/machine learning algorithms. Knowledge of digital rights management. Knowledge of mathematics, including logarithms, trigonometry, linear algebra, calculus, statistics, and operational analysis. Knowledge of programming language structures and logic. Preferred: Degree in one of the following disciplines: Applied Mathematics, Engineering, Science, Computer Science, Mathematics, Statistics or GIS. Geospatial Information Systems (GIS) software (e.g., ESRI ArcGIS suite). Knowledge of national and international laws, regulations, policies, and ethics as they relate to cybersecurity. Knowledge of cybersecurity principles; cyber threats and vulnerabilities; specific operational impacts of cybersecurity lapses. Knowledge of cloud computing service models Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS). Knowledge of cloud computing deployment models in private, public, and hybrid environment and the difference between on-premises and off-premises environments. Thanks, Suresh Kumar Reddy K Lead - US IT Email : [email protected] | www.tekskillsinc.com INDIA | USA | CANADA | UK I AUSTRALIA ISO 9001:2015 | Appraised at CMM Level 3 | WMBE Certified Company -- Keywords: cprogramm cplusplus javascript rlang information technology golang |
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| Thu Nov 02 03:27:00 UTC 2023 |