Role :Digital Data Engineering Practitioner
Role Description :Develop analytics based solutions that produce quantitative and qualitative business insights. Work with partners as necessary to integrate systems and data quickly and effectively, regardless of technical challenges or business environments.
Must Have Skills :Data Science
Good To Have Skills :Python Scripting,R Programming,Spark Programming
Job Requirements : Role: Data Scientist Must Have: 1 Exp in Data science frameworks Jupyter notebook, AWS Sagemaker etc 2 Exp querying databases and using statistical computer languages: R, Python, SLQ, etc 3 Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, 4 Exp with distributed data/computing tools: Map/Reduce, Flume, Drill, Hadoop, Hive, Spark, Gurobi, MySQL Good to Have: 1 Coding knowledge and experience with several languages: C, C, Java, JavaScript, NodeJS 2 Experience using cloud services: RDS, Athena, Redshift, Kinesis, S3, AWS glue 3 Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks 4 Exp in visualizing/presenting data for stakeholders using: AWS Quicksight, Tableau, Periscope, Business Objects, D3, ggplot