*PLEASE SHARE THE RESUMES TO - *Email: [email protected]
*1) **Data Scientist/ Machine Learning* *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 GCP/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 & Regards, Srikanth. Direct PH: 2016233660 Email: [email protected] [image: cid:[email protected]]*SPAR* *INFORMATION SYSTEMS* <http://sparinfosys.com/index.php> (An E-Verify Company) [image: cid:[email protected]] If you are not interested in receiving our e-mails, please send email with REMOVE in subject line. We apologize for any inconvenience. -- You received this message because you are subscribed to the Google Groups "Android Discuss" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/android-discuss/CAJ%2BqChg0gArFOf0d%2Bd_ED5QY-EZ4WyU35-ouGcpE53%2BCrytosg%40mail.gmail.com.
