Principal Machine Learning Scientist

🔥 3 hours ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $134.4k - $190k / year

⏰ Full Time

🔴 Lead

🧬 Research Scientist

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Cotality

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏠 Real Estate

🛡️ Insurance

💳 Fintech

💰 $1.6M Venture Round - Cotality on 2016-07

Real Estate • Insurance • Fintech

Cotality is a property intelligence company that provides comprehensive, AI-ready property and location data, analytics, and enterprise software to support decision-making across real estate, lending, insurance, government, and related industries. Its platform includes broad property-level datasets, cloud and marketplace integrations (Databricks, Google Cloud, Snowflake), the Model Context Protocol (MCP) connector, and product suites for valuation, loan origination and servicing, claims and catastrophe modeling, tax, restoration, and listing management. Cotality emphasizes machine learning and forward-looking risk analytics to power underwriting, portfolio monitoring, site selection, and operational workflows for banks, insurers, real estate professionals, and public sector users.

📋 Description

• Design, develop, and deliver machine-learning predictive and forecasting solutions for real estate and property data assets • Develop algorithmic and rule-based models using rules engines, machine learning, mathematical modeling, pattern recognition, and data mining • Perform data analysis, feature engineering, and model development • Create data derivation and linkage through algorithms and data rules • Create and select predictive features from raw data • Create model reports for stakeholder review and documentation • Develop and train pattern-recognition models using clustering, logistic regression, deep learning, support vector machines, boosting trees, and supervised and unsupervised models • Develop analytics using Python, SQL, BigQuery, DataPrep, and Jupyter Notebook • Analyze large volumes of property and consumer data and present model performance to stakeholders • Provide data science and analytical support for the Enterprise Data Solutions Group and collaborate with other teams and business units • QA and analyze data to create datasets for model building • Prepare and maintain analytic model programs and documentation • Conduct quantitative and qualitative research independently and communicate results to internal and external stakeholders • Consult with data management and data technology teams • Lead and provide technical leadership on data science projects with data scientists, data engineers, and data analysts

🎯 Requirements

• Master’s Degree or higher in economics, artificial intelligence, data science, computer science, math, statistics, or engineering, or equivalent work experience • 7+ years of directly related experience • Ability to thrive in a team environment and adapt to changing priorities • Strong problem-solving and analytical ability • Strong communication skills • Ability to quickly adapt to new concepts • Demonstrated knowledge of statistical techniques • Data mining and data analysis experience • Strong working knowledge of multiple analytic development tools, statistical tools, programming languages, and big data tools • Working knowledge of cloud platforms such as AWS or GCP • Working knowledge of cloud-based sandbox environments, analytics sandboxes, and libraries • Ability to work collaboratively with cross-functional teams and business units • Demonstrated general business acumen • Ability to lead small teams in technical projects • Real estate and mortgage-related data industry experience is a plus • Patents and publications in data science are a plus

🏖️ Benefits

• Generous PTO and 11 paid holidays • Well-being and volunteer time off • Up to 16 weeks of fully paid parental leave • Baby stipend • Multiple medical plan options • Mental health and wellness support offerings • 401(k) with company match and vesting after one year • $400 annual well-being stipend • Tuition assistance up to $5,250 • Recognition Rewards • Referral bonuses • Exclusive discounts • Flexible working model • Competitive salary and benefits package • Professional growth opportunities