At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.

Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.

Job Description:

Design, develop, and deliver solutions that will enhance and add value to new and existing data assets for broad industry application and aligned with business and market requirements. Develop algorithmic and rule-based models and analytic capabilities based on rules engine, machine learning, mathematical modeling, pattern recognition, and data mining techniques. Performs data analysis, feature engineering and model development using a variety of analytic techniques, tools, and programming languages to provide business insights and analytic products.

Job Duties

Create data derivation and linkage through algorithm and/or data rules.
Create and select predictive features from raw data.
Create model reports for stakeholder review and model documentation.
Perform pattern recognition model creation and training using various types of algorithms and machine learning modeling techniques for unknown or less well-defined – an unknown problem, solve new problems (e.g., clustering, logistic regression, deep learning, support vector machines, boosting trees, supervised and unsupervised models).
Develop analytics using Python, PySpark and other big data tools such as AutoML, BigQuery(BQ), BQML, DataPrep and Jupyter Notebook.
Develop analytics solutions using traditional database technology such as SQL and big data technology such as Hadoop, MongoDB, Cassandra, Redis, PostgreSQL and Neo4j, NoSQL databases.
Perform complex data analysis on large volumes of property and consumer data and present model performance to stakeholders.
Provide data science and analytic support for the Enterprise Data Solutions Group (EDSG) and interact with other EDSG teams as well as other business units.
QA and analyze large amounts of data to create appropriate data sets for model building.
Prepare and maintain programs and documentation for analytic models.
Conduct defined quantitative and qualitative research projects independently and communicates research results to internal and external stakeholders.
Act as a consultant to EDSG’s data management and data technology teams.
Lead and provide technical leadership on data science project with other data scientists, data engineers, and data analysts.

Job Qualifications:

Master’s or higher in artificial intelligence, data science, computer science, math, statistics or engineering field, or equivalent work experience.
Ability to thrive in a team environment and adapt to quickly changing priorities.
10+ years of directly related experience.
Strong problem solving and analytical ability.
Strong communication skills.
Ability to quickly and efficiently adapt to new concepts.
Demonstrated knowledge of statistical techniques.
Data mining/data analysis experience.
Strong working knowledge in multiple analytic development tools, statistical tools, programming languages, and big data tools.
Working knowledge in cloud platform (e.g. AWS, GCP), cloud-based sandbox environment and analytics sandbox and libraries.
Ability to work collaborative with cross-function teams and business units.
Demonstrated general business acumen; experience working in a real estate and mortgage related data industry a plus.
Ability to lead small team in technical projects.
Patents and publications in data science field a plus

Annual Pay Range:

135,300 - 185,000 USD

Application Window:

This opportunity is expected to remain posted through the date identified below, subject to business needs.

2026-03-31

Thrive with Cotality

At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life.

Highlights, depending on role classification, include:

Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend.
Health: Multiple medical plan options with mental health and wellness support offerings.
Retirement: 401(k) with company match and vesting after one year.
Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250.
Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more!

Please note, Qualifications, locations and experience of the individual ultimately selected for the position may impact the final actual offered compensation, which may vary from the posted range

Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality maintains a Drug-Free Workplace.

Cotality is fully committed to a work environment that embraces everyone’s unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences.

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Principal, Machine Learning Scientist