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Data Science & Analytics Engineer

Data Science & Analytics Engineer

companyInsperity
locationHumble, TX 77339, USA
PublishedPublished: 8/17/2024
Full Time

Insperity Services L.P. DBA Insperity seeks a Data Science & Analytics Engineer to work in Kingwood, Texas to design, develop and implement data science and analytics platforms and technologies, and machine learning models or algorithms while working with an Enterprise Data Engineering scrum team using a variety of machine learning techniques such as clustering, decision tree learning, artificial neural networks, etc.  Validate and update data processing algorithms and platforms to help ensure data acquisition and transformation platforms and technologies sufficiently meet the needs of advanced data science and analytics.

Create and manage data sets for use in training and testing of data science algorithms.  Design and build a wide range of innovative analytics models as needed to solve identified business problems using statistical computer languages (Python, R, or C#/.NET) and various ML/AI libraries (e.g. pandas or ML.NET) to manipulate data and analyze large data sets. Work closely with stakeholders, Enterprise Data Engineers, and other ITS teams to ensure conclusions and trends are easily viewed, interpreted, and understood using knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.). Travel to conferences and seminars.  Telecommuting permitted.

Minimum Education:   Master's degree in Data Science, Computer Science, Statistics, or related field.

Minimum Experience:  12 months (1 year) of experience with computer information systems and  data science and machine learning, including: 6 months developing, managing, and maintaining enterprise software; 6 months using statistical computer languages (such as Python, R, or C#/.NET); and 6 months using various ML/AI libraries (e.g., pandas or ML.NET) to manipulate data and analyze large data sets.

Alternate Education: Bachelor's degree in Data Science, Computer Science, Statistics, or related field.

Alternate Experience: 36 months (3 years) of experience with computer information systems and data science and machine learning, including:  one (1) year of experience developing, managing, and maintaining enterprise; one (1) year of experience using statistical computer languages (such as Python, R, or C#/.NET); and one (1) year of experience with ML/AI libraries (e.g., pandas or ML.NET) to manipulate data and analyze large data sets.

Travel Requirement:     Up to 10% domestic travel for conferences and seminars.

Apply online at www.insperity.com.