What are the responsibilities and job description for the Senior Data Scientist / Overland Park, KS / Onsite position at Keanesoft?
Job Details
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We are looking for Sr Angular Developer for Orlando, FL. (hybrid) facility for more details please find the below JD. If you are interested, please revert me back with your updated resume
Role: Senior Data Scientist Work location: Overland Park, KS Client: Cap Gemini
Duration: Long term
Work authorization: Except OPT/CPT/s any visa is fine
JOB DESCRIPTION: Essential Functions
Support ML projects from strategy through implementation and on-going improvements.
Perform data collection, analysis, validation, cleansing, developing software in support of multiple machine learning workflows, integrating / deployment of code in a large-scale production environments and reporting.
Designs, codes, tests, debugs, and documents ML code - models, ETL processes, SQL queries, and stored procedures.
Extracts and analyzes data from various structured and unstructured sources, including databases, files, data lakes and external APIs/websites.
Responds to data inquiries from various groups within client s organization.
Requires experience with relational databases, document databases (NOSQL) and knowledge of query tools and/or statistical software.
Responsible for other duties/projects as assigned by business management / leadership.
Minimum Required
8 plus years of experience in statistical modeling, data mining, analytics techniques, machine learning software development and reporting
5 plus years of applied experience in building / deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc., and key parameters that affect their performance.
5 plus years of hands-on experience with Python and/or R programming and statistical packages, and ML libraries such as scikit-learn, TensorFlow, PyTorch, etc.
3 plus years of experience in building use cases / solutions especially around AI/based on Cloud infrastructure and services such as Azure, Google Cloud Platform, AWS cloud platforms and Onpremise