Top 20 USA Jobs Data Scientist jobs in US Hartford, CT (Day one hybrid) Quick Apply

Data Scientist

Role: Data Scientist Location: Hartford, CT (Day one hybrid)Duration: 12+ Months  Must Have:Data analysis and/or machine learning Python, MySQL, and SAS SAS (SAS Enterprise), R, Tableau, SPSS Oracle, DB2, Netezza, MySQL Domain Experience (If any ) – HealthcareMust have Certifications – HIPAA 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 environmentEarly response is appreciated!!!ThanksShireen SiddiqueTechnical Recruiter | Empower ProfessionalsShireen@empowerprofessionals.com
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