Cloud Analytics Technologies, LLC
Data Science Manager
Cloud Analytics Technologies, LLC, California, Missouri, United States, 65018
W-2 Open Positions Need to be Filled Immediately.
Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters.Job Overview
Job ID:
J36993Specialized Area:
Data ScienceJob Title:
Data Science ManagerLocation:
To Be Discussed LaterDuration:
9 MonthsEmployment Type:
W-2 (Consultant must be on our company payroll. C2C is not allowed)Minimum Requirements
10+ years of experience in Data Science ManagementMaster's Degree in Biomedical Engineering, Applied Mathematics or a closely related field and 2 years of experience in data mining.Must possess a minimum of 2 years with each of the following:Machine learning and statistical modelling for production systems using Python and JavaArtificial Intelligence with Natural Language ProcessingMachine learning algorithms including neural networks, reinforcement learning and one-shot learningDeployment of machine learning algorithms through docker and microservicesBusiness Intelligence and Analytics including inventory and attrition predictionAnalytics on big scale database using tools to include Hadoop, Mongo DB and HIVEWorking in medical device environment including FDA regulations and (ISO) 13485Analytics of Health economics and reimbursement dataEqual Opportunity EmployerCLOUD ANALYTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters.
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Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters.Job Overview
Job ID:
J36993Specialized Area:
Data ScienceJob Title:
Data Science ManagerLocation:
To Be Discussed LaterDuration:
9 MonthsEmployment Type:
W-2 (Consultant must be on our company payroll. C2C is not allowed)Minimum Requirements
10+ years of experience in Data Science ManagementMaster's Degree in Biomedical Engineering, Applied Mathematics or a closely related field and 2 years of experience in data mining.Must possess a minimum of 2 years with each of the following:Machine learning and statistical modelling for production systems using Python and JavaArtificial Intelligence with Natural Language ProcessingMachine learning algorithms including neural networks, reinforcement learning and one-shot learningDeployment of machine learning algorithms through docker and microservicesBusiness Intelligence and Analytics including inventory and attrition predictionAnalytics on big scale database using tools to include Hadoop, Mongo DB and HIVEWorking in medical device environment including FDA regulations and (ISO) 13485Analytics of Health economics and reimbursement dataEqual Opportunity EmployerCLOUD ANALYTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters.
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