The Colorado Evaluation and Action Lab (Colorado Lab) is a collaboration between the University of Denver and the Colorado Governors office. The mission of the Colorado Lab is to improve the lives of Colorado residents by partnering with state and local governments to strengthen coordinated and efficient person-centered services. A major portfolio of work at the Colorado Lab is to support state agency partners and develop the Linked Information Network of Colorado (LINC), a centralized capacity co-led with the Governors Office of Information Technology (OIT) that integrates data across state agencies for approved research and analytic projects.
Develop standards and best practice procedures for sensitive data management, identity resolution, data validation, data cleansing, and data anonymization
Manage multiple datasets or data flows from various sources and maintain relational databases and develop processes to ensure data integrity and standardization
Query and profile data to determine conformance to standards and fitness for purpose
Document and maintain records of all data management and data integration activities
Maintain up-to-date knowledge of regulatory requirements and industry best practices as it relates to data stewardship, identity resolution and obfuscation (or other means of protecting privacy and security of data)
Train users on data structure to enable analytic goals
Productively engage with governmental agency staff and external researchers as needed
Oversee and manage work of additional LINC data integration staff as necessary
Perform other related duties as required
The Senior Data Scientist (SDS) reports to the LINC Director who is based at the Colorado Lab. The SDS will maintain a contractor role with OIT that will allow the use of the OIT secure computing environment to handle LINC data. OIT and the Colorado Lab will communicate frequently to ensure both organizations objectives and direction for LINC are aligned.
The SDS will be responsible for linking data using advanced identity resolution expertise, then deidentifying, anonymizing or aggregating the data for requestors based on parameters established by the LINC governing body. Critical to the success of this position is the ability to identify and implement solutions that do not presently exist to address data management and integration challenges within OIT. This involves taking the initiative to find solutions from other jurisdictions or expert resources from organizations or online forums. While the SDS will have direct guidance and supervision at the Colorado Lab and support from OIT, the expectation is that the SDS has enough expert experience in data management and integration to make educated independent decisions.
Knowledge, Skills, and Abilities
Exceptional project management and problem-solving skills
Track record of documenting and maintaining records of data management processes
Self-motivated to find solutions to challenges with limited supervisory direction
Eagerness to learn, attention to detail, and ability to multitask
Demonstrated expertise in identity resolution techniques using administrative data
Knowledge of data stewardship regulatory requirements and industry best practice
Expertise in relational databases, scripting and coding to automate and monitor data management processes
Graduate-level degree in data science or related field
15 years of experience managing and integrating administrative data
In-depth knowledge of at least four major administrative data areas preferred (e.g., Child Welfare, Labor and Employment, Education, Criminal Justice, etc.)
Able to establish routines for data cleansing
Experience with ETL processes
Coursework in statistics and/or research methods preferred
Excellent oral communications and experience with technical writing
Experience with Geographic Information Systems preferred
1. Standard office environment.
2. Unexpected interruptions occur often, and stress level is moderate to high.
3. Noise level is quiet to moderate.
1. Ability to sit in front of a computer for an extended period.
2. Occasionally required to move about the office/campus with the capability of transporting objects up to 20 lbs.
Monday - Friday, 8:00 a.m. - 4:30 p.m.
For best consideration, please submit your application materials by 4:00 p.m. (MST) Wednesday, May 26, 2022.
Candidates must apply online through jobs.du.edu to be considered. Only applications submitted online will be accepted.
Salary Grade Number:
The salary grade for the position is 16.
The salary range for this position is $120,000 - $155,000.
The University of Denver has provided a compensation range that represents its good faith estimate of what the University may pay for the position at the time of posting. The University may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on factors such as the qualifications of the selected candidate, departmental budget availability, internal salary equity considerations, and available market information, but not based on a candidates sex or any other protected status.
The University of Denver offers excellent benefits, including medical, dental, retirement, paid time off, tuition benefit and ECO pass. The University of Denver is a private institution that empowers students who want to make a difference. Learn more about the University of Denver.
Please include the following documents with your application:
2. Cover Letter
3. Summary of 3-5 projects for which candidate was responsible for managing and integrating administrative data including list of data sources (maximum 2 pages).
The University of Denver is an equal opportunity employer. The University of Denver prohibits discrimination on the basis of race, color, national origin, age (40 years and over in the employment context), religion, disability, sexual orientation, gender identity, gender expression, genetic information, marital status, veterans status, and any other class of individuals protected from discrimination under federal, state, or local law, regulation, or ordinance in any of the university's educational programs and activities, and in the employment (including application for employment) and admissions (including application for admission) context, as required by Title IX of the Education Amendments of 1972; Title III of the Americans with Disabilities Act of 1990, as amended in 2008; Section 504 of the Rehabilitation Act of 1973; Title VI and VII of the Civil Rights Act of 1964; the Age Discrimination Act of 1975; the Age Discrimination in Employment Act of 1967; and any other federal, state, and local laws, regulations, or ordinances that prohibit discrimination, harassment, and/or retaliation. For the university's complete Non-Discrimination Statement, please see non‑discrimination‑statement.
All offers of employment are contingent upon satisfactory completion of a criminal history background check.