Insperity is a leading provider of scalable HR solutions with a commitment to diversity and employee well-being. They are seeking a Data Science & Analytics Engineer to design, develop, and implement data science and analytics platforms, as well as machine learning models, while collaborating with an Enterprise Data Engineering team.
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#i.NET) and various MUAI 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/remote work permitted.
Qualification
Required
Master's degree in Data Science, Computer Science, Statistics, or related field.
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 MUAI 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 MUAI libraries (e.g., pandas or ML.NET) to manipulate data and analyze large data sets.
Up to 10% domestic travel for conferences and seminars.
Preferred
Benefit
Generous paid time off
Top-tier medical, dental and vision benefits
Health & wellness support
Paid volunteer hours
And much more
Insperity (formerly Administaff), a trusted advisor to America’s best businesses for more than 25 years, provides an array of human
