Vice Chancellor- Finance & Operations
We are seeking an experienced and highly motivated data and machine learning professional to advance predictive analytics at Missouri S&T. The Machine Learning Engineer will be instrumental in the building of data, statistical modeling, and predictive reporting capacity of the university. In addition to supporting the general data operations of S&T, the ML Engineer will have a significant emphasis on multivariate descriptive and predictive modeling related, but not limited, to student retention, attrition risk, enrollment yield and other predictive programs. This position will build processes and statistical models that integrate student, institutional, and peripheral data with other sources of data. Working closely with partners, this individual will troubleshoot barriers to the collection and integration of datasets needed to perform modeling. Uses expert statistical methods to analyze data and generate useful reports, models, and findings.
The ML Engineer may be required to come to the S&T campus at their own expense for meetings, training, troubleshooting, etc. The rest of the time the position will work remotely.
Key Responsibilities
Bachelor's degree or an equivalent combination of education and relevant experience, and at least 4 years of experience from which comparable knowledge and skills can be acquired is necessary
The anticipated hiring range for this position has been established as $68,200-$85,000 annually.
Salary is determined by a variety of factors, including but not limited to, the individual's particular combination of education, skills, and experience, as well as organizational requirements.
Your total compensation goes beyond the number on your paycheck. The University of Missouri provides generous leave, health plans, and retirement contributions that add to your bottom line.
Grade: GGS 12
University Title: DATA ANALYST II
To review the University of Missouri's Staff Compensation Structure you can view the. Internal applicants can determine their university title by accessing the Talent Profile tile in myHR.
Applications will be accepted until this position is filled.
This position is eligible for University benefits. As part of your total compensation, the University offers a comprehensive benefits package, including medical, dental and vision plans, retirement, paid time off, short- and long-term disability, paid parental leave, paid caregiver leave, and educational fee discounts for all four UM System campuses. For additional information on University benefits, please visit the Faculty & Staff Benefits website at
Values Commitment
We value the uniqueness of every individual and strive to ensure each person's success. Contributions from individuals with diverse backgrounds, experiences and perspectives promote intellectual pluralism and enable us to achieve the excellence that we seek in learning, research and engagement. This commitment makes our university a better place to work, learn and innovate.
In your application materials, please discuss your experiences and expertise that support these values and enrich our missions of teaching, research, and engagement.
Equal Employment Opportunity
The University of Missouri System is an Equal Opportunity Employer. Equal Opportunity is and shall be provided for all employees and applicants for employment on the basis of their demonstrated ability and competence without unlawful discrimination on the basis of their race, color, national origin, ancestry, religion, sex, pregnancy, sexual orientation, gender identity, gender expression, age, disability, or protected veteran status, or any other status protected by applicable state or federal law. This policy applies to all employment decisions including, but not limited to, recruiting, hiring, training, promotions, pay practices, benefits, disciplinary actions and terminations. For more information, visit or call Human Resources at 573-341-4241.
To request ADA accommodations, please call the Office of Equity & Title IX at 573-341-7734.