From: kondalavanya335@gmail.com   
      
   Hi,vendors   
   greetings from staff works   
   Data Scientist   
       
   •	Remote or Chicago, IL   
       
   Contract W2, Contract Independent, Contract Corp-To-Corp   
   Depends on Experience   
   Work from home available   
   Job Description   
   Job title: Data Scientist   
   Location: Chicago later   
   Company   
   Client is a leading provider of platforms, digital innovation, artificial   
   intelligence and end-to-end IT & Business services and solutions for Global   
   1000 companies. We are transforming corporations through deep domain   
   expertise, knowledge-based ML    
   platforms, as well as profound anthropological efforts to understand the end   
   customer and design products and interactions that create delight. We are   
   deeply committed to developing a comprehensive understanding of our client's   
   problems and developing    
   platforms to address them.   
   Description:   
   The client is looking for talented Data Scientists who have experience   
   building data-based solutions powered by the advancement of Machine Learning   
   algorithms and Deep Learning networks. As a Data Scientist (Stars Business   
   Intelligence, Medicare) you    
   will play a critical role in developing analytical capabilities to improve and   
   optimize member experience.   
   Responsibilities:   
   As a Data Scientist you:   
   •	Should have the ability to communicate data insights to all organizational   
   levels, concluding, defining recommended actions, and reporting results across   
   stakeholders.   
   •	Should work on integrating data from different data sources.   
   •	Should be working on pre-processing large datasets to build machine   
   learning models, automating, deploying, and maintaining them into production.   
   •	Should be able to understand how the deployed models run correctly.   
   •	Should develop, test, and deploy data structures using Entity-Relationship   
   Diagramming, and data modeling tools.   
   Requirements:   
   •	1+ years of hands-on experience on #Flask and #Rest-API, model deployment.   
   •	3+ years of hands-on experience with #Python, #MySQL, and #SAS (SAS   
   Enterprise), #R, #Tableau, #SPSS, #STATA.   
   •	5+ years of experience in data science specialization, including   
   statistical data analysis and/or machine learning in an enterprise-scale   
   environment.   
   •	Deep understanding of common database technologies, such as #SQL   
   Database/Server, #SQL Data Warehouse, #Oracle, #DB2, #Netezza, #MySQL, and   
   other data sources, such as #Azure Data Lake Storage and Azure Blob Storage.   
   •	Experience working with distributed computing tools (#Hadoop, #Hive,   
   #Spark, etc.)   
   •	Expert in Docker, CI/CD deployment, writing YMAL files to implement code   
   and functions as service.   
   •	Experience with Cloud Platforms using Google Cloud Platform/#Azure/#AWS.   
   •	Hands-on experience with real-time streaming processing as well as high   
   volume batch processing, and skilled in Advanced #SQL, #Amazon S3, #Apache   
   Kafka, #Data-Lakes, etc.   
   •	Experience with Tableau is a plus.   
   •	Experience with large scale data mining tools such as #Spark   
   •	Advanced understanding of best practices for structuring and organizing   
   Data Lake file systems for large volumes of data.   
   •	Experience with ML models automation and deployment to production.   
   •	Experience performing advanced data pipelines, data structure and   
   modeling, data processing, data extraction, joining, manipulation cleaning,   
   analysis, and presentation for medium to large datasets.   
   •	Experience developing models for forecasting, classification, clustering,   
   regression analysis, recommendations, variable selections, and natural   
   language processing.   
   •	Experience with scientific computing and analysis packages such as #NumPy,   
   #Pandas, #Scikit-Learn, #SciPy, and #ggplot2.   
   •	Experience with Deep Learning frameworks like #PyTorch, #TensorFlow, and   
   #Keras.   
   •	Experience with automated feature engineering/feature extraction and   
   reduction.   
   •	Experience with data visualization libraries such as #Matplotlib, #Seaborn   
   Pyplot, #ggplot2.   
   •	Strong grasp of experimental design, A/B testing, and advanced statistical   
   analysis   
   •	Experience with #Git, #GitHub, and #Linux administration.   
   •	Experience leading end-to-end data science project implementation   
   including training, testing, and deploying machine learning models in   
   production environments.   
   Thanks and regards,   
   Lavanya konda   
   Staff works   
   Email id: konda.lavanya@staffworks.in   
   Phno:213 (808)-0962   
      
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