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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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