Job Title

CAE Research Data Scientist

Agency

Tarleton State University

Department

Center for Agribusiness Excellence

Proposed Minimum Salary

$7,893.50 monthly

Job Location

Stephenville, Texas

Job Type

Staff

Job Description

General Description:

The CAE Research Data Scientist performs research on on-going projects.  Collaborates on multi-disciplinary projects and cultivates major funding sources.  Responsible for the development of complex statistical modeling to abstract problems and discovering insights through statistical, algorithmic, mathematical optimization and visualization techniques. Develops and improves upon statistical analysis and predictive models to support CAE’s critical business process and initiatives including forecasting short and long-term trends. Provides technical expertise for initiating and implementing research and development programs and participates in the development of intermediate and long-range research plans and goals.  The successful candidate will be a self-motivated individual with strong background in machine learning and data analytics. 

Responsibilities:

Collaborate with other researchers at the Center for Agribusiness Excellence (CAE) and United States Department of Agriculture’s Risk Management Agency (USDA RMA) to solve challenging issues and projects in the crop insurance program

Develops a set of statistical models and novel algorithms, which includes identifying, assessing, measuring, and monitoring of data analytics.

Maintains assessment criteria for continual development of data analytics models.

Maintains a set of standards, technical infrastructure, data management, and data algorithm development efforts for future uses, as well as compliance review.

Extract and clean large volumes of data to derive insights that can be used for process improvements

Reviews data and data collection policies and procedure within USDA and CAE to ensure that data is maintained in a manner that is applicable with all current Federal, State, System and University rules.

Documents entire process of statistical approaches and techniques used in preparation for and implementation of statistical analysis algorithms. Provides clear and concise set of findings and recommendations based on statistical assessment of subjects and prepares final reports.

Communicate status and findings to senior management and key stakeholders

Identifies and communicates recommended data deficiencies within units.

Provides guidance in use of appropriate methods and techniques in the development of data dictionary.

Develops training of used statistical methods and techniques.

Train and mentor data analysts, researchers, and/or Graduate Assistants

Perform all responsibilities with very little supervision; solve problems independently

Conduct analysis by using statistical tools

Maintains expertise with the latest hardware and software technologies for statistical and numerical data analyses. Keeps up-to-date on scientific research via reading of literature, etc.

Attends scientific meetings and seminars for research enhancement

Occasional travel required

Other duties, as assigned

Qualifications:

Bachelor’s degree or equivalent combination of education and experience.

Eight years of related experience.

Knowledge of advance statistical analysis, interactive data visualization, programming or similar software applications. Knowledge of use of data mining.

Ability to research and develop statistical learning models for data analysis.

Ability to multitask and work cooperatively with others.

Must qualify for USDA security clearance

Preferred Qualifications:

Doctoral degree in in computer science, engineering, physics, mathematics, statistics, or a related field

2-4 years of progressively responsible experience working with machine learning, mathematical, statistical, and/or algorithm development

Excellent understanding of latest machine learning technologies

Demonstrated expertise in algorithm development

Demonstrated knowledge of Data Mining methods (classification, clustering, etc.) and Statistics

Demonstrated knowledge of Python or other statistical tools is an asset

Practical experience applying quantitative techniques to solve real-world problems

Ability to manipulate and extract information from very large, complex data sets

Ability to define a problem as well as formulate and execute a plan for solution

Able to read, analyze, and interpret business documents and handbooks

Must be able to meet milestone deadlines

Excellent written and verbal communication skills for communicating with customers and staff as well as the ability work collaboratively with other subject matter experts in other disciplines

Knowledge of USDA crop insurance

Experience in using statistical tools

Grant and research publication experience preferred

Salary:

The target base annual salary $94,722 and is commensurate with experience and may be negotiable based on funding availability and candidate experience/skillset in relation to the minimum requirements of this position. Tarleton State University offers a career filled with purpose and opportunity in addition to competitive wages. As part of the Tarleton family, the following benefits are also available to full time and qualifying part time employees:

Educational Benefits - employee perks that help enrich, grow, and foster career and professional development:

Family Education Benefit (Tuition Scholarship) – scholarship opportunities for Tarleton employees, their spouses, or their dependents available after 6 months of continued full-time employment. Click the link to learn more about this incredible Texan benefit!

Doctoral Educational Assistance – Full-time budgeted employees at all A&M System Universities, Agencies, and System Offices are qualified for reimbursement of tuition and mandatory fees. Eligibility: This program is applicable to the pursuit of a first doctorate degree only to full-time, budgeted employees who have been in a position no less than 2 long semesters. Click the link for additional details!

Employee Health, Wellness, and Financial Planning

Fully covered employee health insurance

Reimbursement of Insurance Premium Deductions! The State of Texas contributes to eligible employees’ insurance coverages as of the 1st day of the month following 60 days of employment in an eligible position. For those who elect coverage PRIOR to the first of the month after 60 days of employment, Tarleton State University will reimburse employees the State contribution towards health coverage during those first 60 days.

Dental insurance

Vision insurance

Retirement and Insurance programs

Paid Leave

Tarleton employees enjoy one of the greatest PTO packages in the area!

Paid sick leave

Holiday pay

Vacation

Longevity pay

Paid Birthday Leave – Tarleton State University awards all leave-eligible employees paid time off for their birthday!

Other

Complimentary tickets to all Athletic and Performing Fine Arts events

Tarleton Employees enjoy two complimentary general admission tickets for athletics and performing fine arts events on campus! Join Texan Nation on the bleachers or in the auditorium.

Employee Wellness Release Time

Staff Gym Membership Discount with Campus Recreation

and other Tarleton Discounts

Qualified candidates are encouraged to submit a completed application for consideration. Initial review of applications will begin immediately and continue until position is filled.

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

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.