Data Scientist
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Data Scientist
Salary
$91,110.24 - $132,109.85 Annually
Location
Brighton, CO
Job Type
Regular Full-time
Job Number
07251
Department
County Assessor
Division
County Assessor Div
Opening Date
11/13/2025
Closing Date
12/4/2025 11:59 PM Mountain
Our Mission
To responsibly serve the Adams County community with integrity and innovation.
EEO
Adams County is an equal opportunity employer. No person is unlawfully excluded from employment opportunities based on race, color, national origin, ancestry, religion, creed, sex, sexual orientation, gender expression, gender identity, age, disability, genetic information, veteran status, marital status or any other legally protected characteristic.
Position classification
Onsite -- Job duties and expectations require employee to be regularly scheduled onsite.
Description
Benefits
Questions
What Success Looks Like In This Job
The Assessment Data Scientist serves as the Assessor's Office senior data science expert, leading the design, implementation, and oversight of advanced Computer-Assisted Mass Appraisal (CAMA) and Automated Valuation Models (AVMs). This role applies predictive analytics, statistical modeling, and machine learning to improve the accuracy, transparency, and efficiency of property valuations in alignment with statutory deadlines, Division of Property Taxation guidelines, and IAAO standards. The position ensures equitable valuation by identifying market trends, detecting anomalies, and improving data quality through collaboration with appraisal, GIS, and IT teams. Additionally, the role translates complex modeling results into clear, actionable insights for leadership, stakeholders, and the public, while mentoring staff to build organizational capacity in advanced analytics.
Examples of Duties for Success
Serve as a senior-level data science and modeling expert in the Assessor's Office, responsible for developing and managing advanced Computer-Assisted Mass Appraisal (CAMA) and automated valuation models (AVMs).
Design and implement predictive analytics and machine learning models to enhance accuracy, transparency, and efficiency in property valuation processes.
Ensure compliance with statutory property valuation deadlines, Division of Property Taxation (DPT) guidelines, and International Association of Assessing Officers (IAAO) standards through data-driven modeling and quality control.
Lead the development of scalable statistical and machine learning solutions to identify market trends, detect anomalies, and support equitable valuation of all property @types.
Collaborate with appraisal, GIS, and IT teams to improve data quality, leverage automation, and integrate cutting-edge analytics into existing workflows.
Translate complex modeling outputs into actionable insights for leadership, stakeholders, and the public.
Develop, implement, and maintain advanced AVMs and CAMA models using multiple regression, machine learning algorithms, and predictive analytics techniques.
Perform ratio studies, time trend analysis, and depreciation modeling using both traditional statistical methods and advanced AI-driven approaches.
Analyze large-scale datasets from CAMA systems, GIS platforms, and external sources to uncover patterns, drivers of value, and predictive variables.
Build and deploy interactive dashboards and visual analytics tools (Tableau, Power BI) to communicate key insights and support decision-making.
Monitor evolving Division of Property Taxation (DPT) guidelines, IAAO standards, and emerging technologies to ensure compliance and maintain innovation in valuation practices.
Implement continuous model performance testing, error analysis, and recalibration to improve predictive accuracy and reduce bias.
Support automation strategies and process improvements for mass appraisal through scripting, APIs, and integration with enterprise systems.
Train and mentor staff on data literacy, advanced analytics, and machine learning applications in property valuation.
Present modeling outcomes and predictive insights to management and public stakeholders in a clear, accessible format.
Perform other related duties as assigned to enhance data-driven operations within the Assessor's Office.
Qualifications for Success
Knowledge Of:
Advanced statistical modeling, predictive analytics, and machine learning concepts applied to mass appraisal and property valuation.
Automated Valuation Models (AVMs), CAMA systems, and modern data science methodologies.
Programming languages and analytics tools such as Python, R, SQL, and relevant machine learning libraries (e.g., scikit-learn, TensorFlow).
Geographic Information Systems (GIS) and spatial analytics tools (e.g., ESRI ArcGIS).
Data visualization and reporting platforms such as Tableau or Power BI for business intelligence and decision support.
Industry standards and ethics set by the International Association of Assessing Officers (IAAO) and state property assessment regulations.
Skill To:
Design and implement machine learning models, predictive algorithms, and regression-based valuation models for large datasets.
Leverage automation and scripting (e.g., Python, R) to streamline workflows and improve operational efficiency.
Develop interactive dashboards, predictive tools, and advanced analytics visualizations.
Communicate complex technical results clearly to leadership, staff, and non-technical stakeholders.
Ability To:
Apply advanced data science techniques to real-world property valuation challenges.
Lead data-driven initiatives and mentor staff on modern analytics and modeling practices.
Work under pressure to meet statutory deadlines without compromising model accuracy and compliance.
Build cross-functional partnerships with appraisal, GIS, and IT teams to deliver innovative solutions.
Understand, interpret, and communicate state rules and regulations and tax code guidelines.
Translate technical concepts into actionable business strategies for public transparency and equity in valuation.
More Qualifications for Success
Any combination of experience and training that would likely provide the required knowledge and abilities is qualifying. A typical way to obtain the knowledge and abilities would be:
Experience: Six (6) years of increasingly responsible related data collection, process analysis/mapping, research, and statistical analysis experience, including a minimum of two (2) years' related work experience in property tax assessment or a similar field.
Education and Training:
Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
A Master's degree is preferred and may substitute 2 years' required experience, excluding work in property tax assessment.
License or Certificate:None.
Background Check: Must pass a criminal background check.
Other:State Residency: At the time of appointment, candidate must be a legal resident of the state of Colorado.
Adams County complies with Colorado's Job Application Fairness Act ("JAFA"). JAFA prohibits employers from asking individuals to disclose their age, date of birth, or dates of school attendance or graduation on an initial employment application. However, additional application materials such as certifications and transcripts containing this information may be required for certain positions; if such additional materials are requested, applicants may redact information that identifies the applicant's age, date of birth, or dates or attendance or graduation.
Adams County provides a comprehensive benefits package to employees that goes above and beyond what is offered at most organizations.
Clickhere (https://youtu.be/ILAvllPaGb4) to watch our video about why Adams County is an Employer of Choice!
Benefits You Expect:
AFLAC Supplemental Medical Insurance
Basic Term Life & Optional Term Life Insurance
Deferred Compensation Plan
Dental/Vision/Medical Plans
Generous Vacation/Sick leave
Long-Term Disability
Retirement Plan
Short-Term Disability
Plus some you might not expect:
Employee Assistance Program
Employee Fitness Center
Employee Health Clinics
Flexible Work Schedules
Recreation Center Discounts
Training & Tuition Reimbursement Programs
Wellness programs
Lactation friendly certified workplace
01
Please be aware that your cover letter and resume will not be accessed in the initial screening process, so you must complete your application and supplemental questions with as much detail as possible. Any personally identifiable information (PII) such as name and address will be redacted from applications that meet the minimum screening requirements and are forwarded to the hiring manager. If the hiring manager selects you to advance in the hiring process, your cover letter and resume will then be accessible to the hiring team. Information provided on the application is used to determine if a candidate meets minimum qualifications. Only information provided at the time of the application being completed will be considered and additional information that is not listed on the application will not be considered when deciding if a candidate meets or does not meet the qualifications. Applicants are STRONGLY encouraged to include all information and details on their application. I understand and agree that only information provided at the time of my application will be used to determine if I meet the minimum requirements for this position.
Yes, I understand and agree
Yes, I understand but disagree.
02
How many years of increasingly responsible related data collection, process analysis/mapping, research, and statistical analysis experience do you possess?
4 - 5 Years
6 - 7 Years
8 - 9 Years
10+ Years
None of the above.
03
Do you possess two (2) years' related work experience in property tax assessment or a similar field?
Yes
No
04
Please select your highest level of education:
High School Diploma/GED Equivalent
Associate's Degree
Bachelor's Degree
Master's Degree
Doctorate
None of the Above
Required Question
Employer
Adams County
Address
4430 S. Adams County Parkway, Suite C4000BBrighton, Colorado, 80601-8213
Website
http://www.adcogov.org/current-career-opportunities
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