Data Scientist 3 jobs in United States
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Avid Technology Professionals · 15 hours ago

Data Scientist 3

Avid Technology Professionals is seeking a Data Scientist 3 to leverage advanced analytical techniques and machine learning. The role involves designing and implementing machine learning algorithms and performing advanced statistical analysis, as well as requiring significant experience in MLOPS and data science.

Information TechnologySoftware
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Comp. & Benefits
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

Qualification

Machine LearningData MiningStatistical AnalysisPythonRSASMATLABMLOPSSoftware EngineeringCloud DevelopmentData AnalysisDescriptive AnalyticsPredictive AnalyticsPrescriptive Analytics

Required

Bachelor's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science)
A minimum of ten (10) years of experience in two (2) or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software such as R, Python, SAS, or MATLAB
An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree
A Master's Degree from an accredited college or university in a quantitative discipline can be substituted for two (2) years of experience for a total of eight (8) years of experience required
A Doctoral Degree from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience for a total of six (6) years of experience required
Significant MLOPS and Data Science background
This position requires in-scope poly, within 7 years

Company

Avid Technology Professionals

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ATP is a successful and growing team of exceptional IT professionals. Good pay. Great benefits. Empowering employees.

Funding

Current Stage
Growth Stage
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