Data Science & Analytics Engineer
Kingwood, Texas
Employer: Insperity
Industry:
Salary: Competitive
Job type: 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.
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.
Created: 2024-08-22
Reference: 19482
Country: United States
State: Texas
City: Kingwood
Similar jobs:
-
Data Scientist, Sales Insights, Analytics, Data Engineering \u0026 Science (SIADS), Sales Insights, Analytics, Data Engineering \u0026 Science (SIADS)
Amazon in Austin, Texas💸 $125500 per year -
Data Engineer, Program Analytics
Apple in Austin, Texas -
Data Analytics Engineer - Senior
Procom in Austin, Texas -
Data Engineer II, WW Grocery Data Tech, Operational Reporting and Analytics
Amazon in Austin, Texas -
Analytics Engineer II SQL Visualization Power BI
Methodist Healthcare in San Antonio, Texas -
Engineer 2- Data and Analytics
JCPenney in Plano, Texas -
GRADUATE STUDENT-R&D - STUDENT ANALYST - STUDENT ENGINEER - Data Analytics Software
Southwest Research Institute in San Antonio, Texas -
Business Intelligence Engineer, Defect Elimination Analytics
Amazon in Austin, Texas -
Data Engineer (Data Analytics and Visualization)
EPAM in Austin, Texas -
Modeling & Analytics Engineer
Koch Industries in Victoria, Texas -
Data Scientist, Sales Insights, Analytics, Data Engineering \u0026 Science (SIADS), Sales Insights, Analytics, Data Engineering \u0026 Science (SIADS)
Amazon in Austin, Texas💸 $125500 per year -
Customer Engineer II, Data Analytics, Central, Google Cloud
Google in Austin, Texas -
Engineer 2 - Data & Analytics
JCPenney in Plano, Texas -
Business Intelligence Engineer, Defect Elimination Analytics
Amazon in Austin, Texas -
Analytics Engineer II SQL Visualization Power BI
Methodist Healthcare in San Antonio, Texas -
Principal Analytics Engineer
Intuit in Plano, Texas -
Senior Customer Analytics Engineer
Insight Global in Plano, Texas