Principal, Machine Learning Scientist

About the role

Cotality is a leading provider of property intelligence, dedicated to driving the global property ecosystem forward. As a member of our team, you'll play a crucial role in enhancing and adding value to our extensive data assets, aligning with business and market needs.

Responsibilities

• 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 problems.
• 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 communicate research results to internal and external stakeholders.
• Lead and provide technical leadership on data science project with other data scientists, data engineers, and data analysts.

Requirements

• 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 collaboratively 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.

Qualifications

• Annual Pay Range: 134,400 - 185,000 USD

Benefits

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

Pay

Annual Pay Range: 134,400 - 185,000 USD

Schedule

Not specified