Data Science & Analytics Engineer

Insperity provides the most comprehensive suite of scalable HR solutions available in the marketplace with an optimal blend of premium HR service and technology. With more than 90 locations throughout the U.S., Insperity is currently making a difference for thousands of businesses and communities nationwide.

Behind our success is the unshakeable belief in the value of our people. We value diversity, inclusivity and a sense of belonging. We celebrate work and life events, and we partner with our clients and communities to make great things happen.

We have received recognition numerous times as a top place to work, most recently ranking on Glassdoor’s “Best Places to Work in the U.S. 2024” list, and U.S. News & World Report’s “Best Companies to Work for 2024” list. In addition, we have been recognized for having one of the country’s Top 50 Midsize Early Talent Programs by RippleMatch’s 2024 Campus Forward Awards. There is no better time to be a part of Insperity, and our best work is yet to come. Learn more at Insperity.com.

Why Insperity?

Flexibility: Over 80% of Insperity’s jobs have flexibility. We want your time to have balance, whether it’s spent with coworkers, clients, family or your community.

Career Growth: Insperity provides many ways to grow with the company. We offer continuous learning programs, mentorship opportunities and ongoing training.

Well-Being: Our total rewards package includes generous paid time off, top-tier medical, dental and vision benefits, health & wellness support, paid volunteer hours and much more. We take care of our people so that you can do your best work.

Job ID: JR100885

Location: Kingwood, Texas

Insperity Services, L.P. DBA Insperity seeks a Data Science & Analytics Engineer to work in Kingwood, Texas.  The job duties include the following:  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.

REQUIREMENTS:

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 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#I NET); and one (1) year of experience with MUAI libraries (e g,, pandas or ML.NET) to manipulate data and analyze large data sets.

TRAVEL REQUIREMENTS: Up to 10% domestic travel for conferences and seminars. Telecommuting/remote work permitted.

Apply online at www.insperity.com. Job ID: JR100885

At Insperity, we celebrate the diversity of our employees and our leadership. Insperity is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.