Job Title Senior Data Scientist Agency Texas A&M University Department Texas Real Estate Research Center Proposed Minimum Salary Commensurate Job Location College Station, Texas Job Type Staff Job Description Glimpse of the Job: As a Senior Data Scientist, you will be at the forefront of our data analytics initiatives, driving innovation and strategy. You will develop and implement advanced statistical models and algorithms, providing oversight and guidance to our data team. Your expertise will ensure compliance with data policies and the maintenance of our data warehouse. Additionally, you will support leadership in crafting long-term data strategies, manage technical infrastructure, and present data science strategies and performance. Your role will also involve mentoring team members, refining reports, and staying abreast of the latest data science trends. If you are passionate about data and ready to make a significant impact, this is the perfect opportunity for you! The Senior Data Scientist is responsible for providing management and oversight of the use of appropriate methods and techniques in the research, design and implementation of data analytics. Provides oversight on maintaining assessment criteria for continual development of data analytics models including compliance with appropriate storage of data in regard to Federal, State, Texas A&M System, and Texas A&M University policies, procedures. Manages the process to maintain standards, technical infrastructure, data management and data algorithm development efforts for future uses, as well as a compliance review. Implements recommended data deficiencies within units and assess outcomes. About The Center The Texas Real Estate Research Center was founded in 1971 by an act of the Texas Legislature. The Center’s enabling legislation defines a broad mandate to “conduct studies in all areas related directly or indirectly to real estate and/or urban or rural economics.” In addition to research programs in residential, commercial, and rural land economics, the Center maintains administrative, data, and communications teams to support its research agenda. Please learn more at www.trerc.tamu.edu What You Need To Know Salary: Compensation will be commensurate to the selected hire’s experience. A cover letter and resume are strongly recommended. Qualifications Required Education and Experience + Bachelor’s degree in computer science, data science, applied mathematics/statistics or related fields or equivalent combination of education and experience. + Ten years of related experience in building and maintaining data warehouses and performing business intelligence or analysis on large enterprise datasets for decision makers. Required Knowledge, Skills, and Abilities + Knowledge of advanced statistical analysis, interactive data visualization, programming or similar software applications. Knowledge of the use of data mining. + Ability to research and develop statistical learning models for data analysis. + Ability to multitask and work cooperatively with others. + Ability to complete assignments timely and efficiently. + Ability to maintain confidentiality. + Excellent written communication, analytical, interpersonal, and organizational skills. Preferred Qualifications + Master’s degree in Economics, Data Science, Statistics, Computer Informatics, or related field. + More than six years of practical experience with data processing and complex multivariate statistical analyses. + Experience supervising a data science or computer science team. + Experience managing very large datasets for business intelligence, operations or applied research tasks. + Experience managing and preparing standard public and private vendor data sources used in real estate market analysis or economic models (e.g. CoreLogic, Costar, RealPage, Census, BLS, etc.). Responsibilities + Data Analysis- Supervises and gives oversight to data scientists, data engineers, database administrators, and data analysts on implementation of the Center’s data strategy and develops training for Center staff on effective use of data, statistical methods and techniques. Develops a set of statistical models and algorithms, which includes identifying, assessing, measuring, and monitoring of data analytics. Manages and oversees the use of appropriate methods and techniques in the research, design and implementation of data analytics. Develops, models, and implements useful quantitative methods and makes recommendations to base on the statistical assessment of subjects. + Datawarehouse Maintenance- Manages the process to maintain standards, technical infrastructure, data management and data algorithm development efforts for future uses, as well as a compliance review. Implements recommended data deficiencies within units and assess outcomes. Provides management and oversight of the documentation of statistical methods and techniques used in the preparation and statistical analysis algorithms. Recommends actions for review based on findings and assists with the implementation of activities. Refines and draws reports. Presents on data science departmental performance as well as proposed data science and analytics strategies. Models complex discovery insights and identifies operational opportunities by statistical, visualization, and mining techniques. Maintains an understanding of new and leading data science and analytic practices, trends, design, learning, and development cycles. Supervises data team members in their development, analysis and maintenance activities. Ensures the accuracy and timeliness of data, services, and products created by the TT&IC. + Data Strategy and Development- Supports Center leadership in creating and implementing a long-term data strategy that includes identification, acquisition, maintenance, and deployment of data to support the research and communications mandates of the Center. Provides a strategic role, in the formulation of new and creative ways with leveraging the university's vast collection of data and data sources. Works with large sets of data and aids in establishing scalable analytic systems across multiple systems. Provides oversight on maintaining assessment criteria for continual development of data analytics models including compliance with appropriate storage of data regarding Federal, State, Texas A&M System, and Texas A&M University policies, procedures. Aids in the development of big data capabilities, frameworks, and governance processes in the department enabling more effective execution of data and analytics campaigns. Supervises data team members in their execution of these tasks. Other Requirements and Factors + This position is security sensitive. + This position requires compliance with state and federal laws/codes and Texas A&M University System/TAMU policies, regulations, rules and procedures. + All tasks and job responsibilities must be performed safely without injury to self or others in compliance with System and University safety requirements. + This position may require up to 10% or more travel. + This position may require work beyond normal office hours and/or work on weekends. + This is a wage position established to accommodate a temporary organizational need. As such, TAMU does not guarantee any set number of hours or length of employment in this role. + This position may direct and/or evaluate the work of others. + This position is funded from grant and/or contract funding, which is renewed through provisions of the grantor of the contract. Therefore, this position is contingent upon continuation of funding from these grants and/or contracts, as well as satisfactory job performance. Export Control This position will require export-control authorization prior to starting employment. Why Texas A&M University? We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration.  Amenities associated with a major university, such as sporting and cultural events, state-of-the-art recreation facilities, the Bush Library and Museum, and much more await you.  Experience all that a big city has to offer but with a reasonable cost-of-living and no long commutes.  + Health (https://www.tamus.edu/business/benefits-administration/medical/) , dental (https://www.tamus.edu/business/benefits-administration/dental/) , vision (https://www.tamus.edu/business/benefits-administration/vision-insurance/) , life and long-term disability insurance (https://www.tamus.edu/business/benefits-administration/life-add/) with Texas A&M contributing to employee health and basic life premiums + 12-15 days (https://employees.tamu.edu/employee-relations/leave/index.html) of annual paid holidays + Up to eight hours of paid sick leave (https://employees.tamu.edu/employee-relations/leave/paid/sick.html)  and at least  eight hours of paid vacation each (https://employees.tamu.edu/employee-relations/leave/paid/vacation.html) month + OPR Eligibles + Health and Wellness: Free exercise programs and release time (https://flourish.tamu.edu/wellness-release-time/) + Professional Development: All employees have access to free  LinkedIn Learning (https://linkedinlearning.tamu.edu/)  training, webinars, and limited financial support to attend conferences, workshops, and more + Employee Tuition Assistance (https://livingwell.tamu.edu/employee-tuition-assistance/) and Educational Release time (https://employees.tamu.edu/employee-relations/leave/paid/educational.html) for completing a degree while a Texas A&M employee Instructions to Applicants: Applications received by Texas A&M University must either have all job application data entered or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to pre-populate the online application. All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check. Equal Opportunity/Affirmative Action/Veterans/Disability Employer.