ATTOM Data Solutions
Senior Data Scientist - Automated Valuation Model (AVM) Development
ATTOM Data Solutions, Irvine, California, United States, 92713
About us
As the leading authority in comprehensive real estate data, ATTOM Data Solutions provides customers a one-stop destination to make better-informed real estate and economical decisions. Recognized nationwide as a trusted industry partner, ATTOM delivers various data products that ensure the accuracy, support, and flexibility required to get the information businesses and individuals need to achieve maximum results.
ATTOM provides premium property data and analytics that power a myriad of solutions that improve transparency, innovation, digitization and efficiency in a data-driven economy. ATTOM multi-sources premium property data for 155M+ U.S. residential and commercial properties covering 99 percent of the population. Our 30TB Data Warehouse powers industries like real estate, mortgage, and insurance with delivery options like APIs, bulk files, and AI-Ready Solutions for seamless integration and innovation. ATTOM is a fully remote company, with employees located throughout the United States.
Currently, we can only accept applicants located in the following states: Arizona, California, Colorado, Connecticut, Florida, Georgia, Idaho, Illinois, Kansas, Kentucky, Maine, Minnesota, Nevada, New Jersey, New York, North Carolina, Ohio, Tennessee, Texas, Virginia, Washington, and Wisconsin
About the Role We are seeking a highly skilled and innovative Senior Data Scientist to lead the development, implementation, and optimization of Automated Valuation Models (AVMs). This role involves leveraging advanced data analytics, machine learning, and statistical modeling to create accurate, efficient, and scalable valuation solutions. The ideal candidate will have a strong technical background, experience in real estate or financial services, and a passion for turning data into actionable insights.
What you will do AVM Development:
Design and implement robust AVMs using machine learning algorithms, statistical methods, and domain-specific heuristics. Optimize model accuracy, scalability, and efficiency for valuation purposes. Source, clean, and preprocess diverse datasets, including structured and unstructured data, to ensure high-quality inputs for AVMs. Analyze data trends, correlations, and anomalies to support valuation insights. Apply domain knowledge to identify product roadmap, growth, engagement, and retention opportunities; quantify impact; and inform prioritization Measure/Quantify/Expand
Conduct rigorous validation, back-testing, and performance evaluations to ensure model reliability and compliance with industry standards. Implement model governance protocols to track accuracy and update models as needed. Stay current with advancements in machine learning, data science, and real estate valuation methodologies. Experiment with emerging techniques to enhance AVM performance and introduce innovative features. Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving performance. Analyze historical data to identify trends and support decision making. Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters. Provide requirements to develop analytic capabilities, platforms, and pipelines. Apply statistical or machine learning knowledge to specific business problems and data. Collaboration:
Drive shared understanding among business, engineering, and science teams of domain knowledge of processes, system structures, and business requirements Work closely with cross-functional teams, including data engineers, software developers, product managers, and stakeholders, to integrate AVMs into broader systems and/or ensure customer adoption and satisfaction. Present findings, methodologies, and recommendations to both technical and non-technical audiences. Compliance and Risk Management:
Ensure all models adhere to regulatory requirements, ethical standards, and organizational policies. Assess and mitigate risks associated with data usage and model predictions. What you need to succeed
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Advanced degree preferred. Proven experience in developing and deploying machine learning models, particularly in AVM or real estate-related applications. Strong background in data analytics and statistical modeling. Proficiency in programming languages such as Python or R. Working knowledge of PHP Experience building /managing automated valuation models or similar valuation tools in RE industry Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with database systems (SQL, NoSQL) and cloud platforms (AWS, Azure, or Google Cloud). Knowledge of geospatial data and GIS tools is a plus. Understanding of regulatory and ethical considerations in AVM development. Excellent analytical and problem-solving skills with the ability to interpret complex data sets. Strong project management skills, including demonstrated ability to think end-to-end, lead long-term projects, and to manage multiple projects simultaneously Creative approach to problem-solving with the ability to focus on details while maintaining the “big picture” view Proficiency with collaboration and project management tools such as Slack, JIRA, Smartsheet, Microsoft Project, Microsoft Teams, etc. Exceptional problem-solving ability Collaboration skills with a strong teamwork ethic Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders What we offer
Base pay range $120,000-$220,000 plus bonus (Final salary offered may vary depending on your location, job-related skills, knowledge, and experience) Flexible work schedule Flexible time off policy Medical, dental, and vision insurance Life and disability insurance Employer-paid benefits Employer-sponsored EAP (Employee Assistance Program) Traditional 401(k) and Roth retirement plans with discretionary company match Pet insurance Employee referral bonus Co-working/office membership through Regus ATTOM Data Solutions is an Equal Opportunity Employer/W/M/Dis. Relocation assistance is not offered for this position.
ATTOM provides premium property data and analytics that power a myriad of solutions that improve transparency, innovation, digitization and efficiency in a data-driven economy. ATTOM multi-sources premium property data for 155M+ U.S. residential and commercial properties covering 99 percent of the population. Our 30TB Data Warehouse powers industries like real estate, mortgage, and insurance with delivery options like APIs, bulk files, and AI-Ready Solutions for seamless integration and innovation. ATTOM is a fully remote company, with employees located throughout the United States.
Currently, we can only accept applicants located in the following states: Arizona, California, Colorado, Connecticut, Florida, Georgia, Idaho, Illinois, Kansas, Kentucky, Maine, Minnesota, Nevada, New Jersey, New York, North Carolina, Ohio, Tennessee, Texas, Virginia, Washington, and Wisconsin
About the Role We are seeking a highly skilled and innovative Senior Data Scientist to lead the development, implementation, and optimization of Automated Valuation Models (AVMs). This role involves leveraging advanced data analytics, machine learning, and statistical modeling to create accurate, efficient, and scalable valuation solutions. The ideal candidate will have a strong technical background, experience in real estate or financial services, and a passion for turning data into actionable insights.
What you will do AVM Development:
Design and implement robust AVMs using machine learning algorithms, statistical methods, and domain-specific heuristics. Optimize model accuracy, scalability, and efficiency for valuation purposes. Source, clean, and preprocess diverse datasets, including structured and unstructured data, to ensure high-quality inputs for AVMs. Analyze data trends, correlations, and anomalies to support valuation insights. Apply domain knowledge to identify product roadmap, growth, engagement, and retention opportunities; quantify impact; and inform prioritization Measure/Quantify/Expand
Conduct rigorous validation, back-testing, and performance evaluations to ensure model reliability and compliance with industry standards. Implement model governance protocols to track accuracy and update models as needed. Stay current with advancements in machine learning, data science, and real estate valuation methodologies. Experiment with emerging techniques to enhance AVM performance and introduce innovative features. Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving performance. Analyze historical data to identify trends and support decision making. Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters. Provide requirements to develop analytic capabilities, platforms, and pipelines. Apply statistical or machine learning knowledge to specific business problems and data. Collaboration:
Drive shared understanding among business, engineering, and science teams of domain knowledge of processes, system structures, and business requirements Work closely with cross-functional teams, including data engineers, software developers, product managers, and stakeholders, to integrate AVMs into broader systems and/or ensure customer adoption and satisfaction. Present findings, methodologies, and recommendations to both technical and non-technical audiences. Compliance and Risk Management:
Ensure all models adhere to regulatory requirements, ethical standards, and organizational policies. Assess and mitigate risks associated with data usage and model predictions. What you need to succeed
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Advanced degree preferred. Proven experience in developing and deploying machine learning models, particularly in AVM or real estate-related applications. Strong background in data analytics and statistical modeling. Proficiency in programming languages such as Python or R. Working knowledge of PHP Experience building /managing automated valuation models or similar valuation tools in RE industry Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with database systems (SQL, NoSQL) and cloud platforms (AWS, Azure, or Google Cloud). Knowledge of geospatial data and GIS tools is a plus. Understanding of regulatory and ethical considerations in AVM development. Excellent analytical and problem-solving skills with the ability to interpret complex data sets. Strong project management skills, including demonstrated ability to think end-to-end, lead long-term projects, and to manage multiple projects simultaneously Creative approach to problem-solving with the ability to focus on details while maintaining the “big picture” view Proficiency with collaboration and project management tools such as Slack, JIRA, Smartsheet, Microsoft Project, Microsoft Teams, etc. Exceptional problem-solving ability Collaboration skills with a strong teamwork ethic Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders What we offer
Base pay range $120,000-$220,000 plus bonus (Final salary offered may vary depending on your location, job-related skills, knowledge, and experience) Flexible work schedule Flexible time off policy Medical, dental, and vision insurance Life and disability insurance Employer-paid benefits Employer-sponsored EAP (Employee Assistance Program) Traditional 401(k) and Roth retirement plans with discretionary company match Pet insurance Employee referral bonus Co-working/office membership through Regus ATTOM Data Solutions is an Equal Opportunity Employer/W/M/Dis. Relocation assistance is not offered for this position.