Role: Data Scientist
Location: Hartford, CT (Day one hybrid)
Duration: 12+ Months
Data Scientist jobs in US
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 ) – Healthcare
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
Early response is appreciated!!!
Thanks
Shireen Siddique
Technical Recruiter | Empower Professionals
Shireen@empowerprofessionals.com |Official Phone-732-356-8008*361|Direct:(203)-693-4258
100 Franklin Square Drive – Suite 104 | Somerset, NJ 08873
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