Hi ,

*Please share your profile  to  [email protected] <[email protected]>*



*Data Scientist*

*Location : Hartford, Connecticut (Remote till COVID)*

*Long Term*



*Description*:

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.



*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.



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.





Thanks & Regards



Aditya

IT Recruiter

Office: (919) 234-7048
__________________

*Torque Technologies LLC * A
*1135 Kildaire Farm Road, Suite #200, Cary, NC 27511*

*An E-Verified Company / INC 5000 Company*www.torquetek.com

Torque Technologies LLC is an Equal Opportunity Employer (EOE). Qualified
applicants are considered for employment without regard to age, race,
color, religion, sex, national origin, sexual orientation, disability, or
veteran status.

*Applicants*
*In compliance with federal law, all persons hired will be required to
verify identity and eligibility to work in the United States and complete
required employment eligibility verification documentation upon hire*.

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