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 Data Scientist, Applications - Durham, North Carolina, United States

   
Job information
Posted by: Infinia ML, Inc. 
Hiring entity type: Other 
Work authorization: Existing work authorization required for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Other
 
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
 
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: XtP6oIwRajYj4VY6iOWmCkumWHnWpY / Latpro-3745393 
Date posted: Jun-28-2020
State, Zip: North Carolina, 27703

Description

Infinia ML, Inc. in Durham, NC is seeking a Data Scientist, Applications to be responsible for data management, including performing data cleaning, pre-processing, and visualization. Position requires a Master’s degree in Computer Science, Statistics, or a closely related field of study and three (3) months of experience in the job offered or as a Data Engineer, Graduate Researcher/Research Assistant, or in a related data science role. Position also requires experience applying statistical models and machine learning algorithms for data analysis. Requires experience with Machine Learning concepts and algorithms, including supervised learning, unsupervised learning, dimension reduction techniques, statistical inference and optimization techniques. Requires experience with numerical computing with Python programming language using the following libraries: NumPy, SciPy, pandas, scikit-learn and matplotlib. Requires experience working with MySQL, PostgreSQL, or related database management system. Requires experience with AWS or other cloud-based infrastructure. Requires experience with software engineering, including object oriented design, unit and functional testing, code refactoring, machine learning deployment and production support. To apply, email resume to carissa.nickel@infiniaml.com, reference Job Req. # 2020-0002.


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Requirements

None

 

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