• US Citizen

• Green Card

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 26th Aug 2022

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 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.