Data Scientist

Location: Remote (This position is based in Hartford, Connecticut. UST will provide relocation assistance)

Description: UST 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.)

· Experience with Cloud Platforms using GCP/Azure/AWS.

· Experience with Linux and experience with NLP.

· Healthcare Experience is a huge plus.

· Expert in Docker, CI/CD deployment, writing YMAL files to implement code and functions as service.

· 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.