Type of Requisition:Regular Clearance Level Must Currently Possess:Secret Clearance Level Must Be Able to Obtain:Secret Public Trust/Other Required:None Job Family:Data Science and Data Engineering Job Qualifications: Skills:Business Intelligence Dashboards, Data Analytics, Data Science Certifications:None Experience:2 +
Job TitleAutomation & Controls Engineer AgencyTexas A&M Engineering DepartmentMaterials Science & Engineering Proposed Minimum SalaryCommensurate Job LocationCollege Station, Texas Job TypeStaff Job Description Why work for Texas A&M Engineering? Who we are Engineering has been part
Senior Electrical Engineer – Embedded Systems and Product Development Lynntech is seeking an experienced electrical engineer to develop complete electrical and embedded systems for prototype products in the defense, aerospace, and medical markets. A successful candidate
Electrical Engineer – Embedded Systems and Product Development Lynntech is seeking an electrical engineer to support the development of electrical and embedded systems for prototype products in the defense, aerospace, and medical markets. A successful candidate
Job TitleAutomation & Controls Engineer AgencyTexas A&M Engineering DepartmentMaterials Science & Engineering Proposed Minimum SalaryCommensurate Job LocationCollege Station, Texas Job TypeStaff Job Description Why work for Texas A&M Engineering? Who we are Engineering has been part
Essential Duties and Responsibilities: - Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition. - Select crucial features, construct, and refine classifiers using
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with product managers,
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with product managers,